From 729cfd5b8cc2d8b8533cb46f1eb80ff344cb3fc3 Mon Sep 17 00:00:00 2001
From: Raivis Dejus <orvils@gmail.com>
Date: Fri, 13 Mar 2026 19:26:32 +0200
Subject: [PATCH 01/35] Will make CUDA optional to reduce bundle sizes

---
 .github/workflows/ci.yml              |   7 --
 buzz/cuda_manager.py                  | 124 ++++++++++++++++++++++++
 buzz/cuda_setup.py                    |   6 +-
 buzz/settings/settings.py             |   3 +
 buzz/widgets/cuda_installer_widget.py | 133 ++++++++++++++++++++++++++
 buzz/widgets/main_window.py           |  21 ++++
 installer.iss                         |   1 -
 7 files changed, 286 insertions(+), 9 deletions(-)
 create mode 100644 buzz/cuda_manager.py
 create mode 100644 buzz/widgets/cuda_installer_widget.py

diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index 96a75a91bf..0f32483bfb 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -200,11 +200,6 @@ jobs:
         run: |
           if [ "$RUNNER_OS" == "Windows" ]; then
             uv pip install msvc-runtime
-            uv pip install -U torch==2.8.0+cu129 torchaudio==2.8.0+cu129 --index-url https://download.pytorch.org/whl/cu129
-            uv pip install nvidia-cublas-cu12==12.9.1.4 nvidia-cuda-cupti-cu12==12.9.79 nvidia-cuda-runtime-cu12==12.9.79 --extra-index-url https://pypi.nvidia.com
-
-            uv cache clean
-            uv run pip cache purge
           fi
         shell: bash
 
@@ -288,7 +283,6 @@ jobs:
           name: Buzz-${{ runner.os }}-${{ runner.arch }}
           path: |
             dist/Buzz*-windows.exe
-            dist/Buzz*-windows-*.bin
             dist/Buzz*-mac.dmg
             dist/Buzz*.AppImage
 
@@ -402,6 +396,5 @@ jobs:
           files: |
             Buzz*-unix.tar.gz
             Buzz*.exe
-            Buzz*.bin
             Buzz*.dmg
             Buzz*.AppImage
\ No newline at end of file
diff --git a/buzz/cuda_manager.py b/buzz/cuda_manager.py
new file mode 100644
index 0000000000..737e58c575
--- /dev/null
+++ b/buzz/cuda_manager.py
@@ -0,0 +1,124 @@
+"""
+Utilities for checking and installing CUDA support at runtime.
+"""
+
+import logging
+import os
+import subprocess
+import sys
+from pathlib import Path
+
+logger = logging.getLogger(__name__)
+
+# Pinned CUDA torch versions for in-app installation
+CUDA_INDEX_URL = "https://download.pytorch.org/whl/cu129"
+CUDA_TORCH_PACKAGES = [
+    "torch==2.8.0+cu129",
+    "torchaudio==2.8.0+cu129",
+]
+CUDA_NVIDIA_PACKAGES = [
+    "nvidia-cublas-cu12==12.9.1.4",
+    "nvidia-cuda-cupti-cu12==12.9.79",
+    "nvidia-cuda-runtime-cu12==12.9.79",
+]
+CUDA_NVIDIA_INDEX_URL = "https://pypi.ngc.nvidia.com"
+
+
+def is_snap() -> bool:
+    """Returns True if running inside a Snap package."""
+    return "SNAP" in os.environ
+
+
+def is_flatpak() -> bool:
+    """Returns True if running inside a Flatpak sandbox."""
+    return "FLATPAK_ID" in os.environ
+
+
+def should_offer_cuda_prompt() -> bool:
+    """Returns True on platforms where in-app CUDA installation is supported."""
+    if sys.platform == "win32":
+        return True
+    if sys.platform == "linux":
+        return is_snap() or is_flatpak()
+    return False
+
+
+def is_cuda_torch_installed() -> bool:
+    """Returns True if torch with CUDA support is available."""
+    try:
+        import torch
+        return torch.cuda.is_available()
+    except ImportError:
+        return False
+
+
+def is_nvidia_gpu_present() -> bool:
+    """Returns True if an NVIDIA GPU is detected.
+
+    Tries nvidia-smi first, then falls back to /proc/driver/nvidia/version
+    which is accessible inside Snap and Flatpak sandboxes without executing
+    an external binary.
+    """
+    try:
+        result = subprocess.run(
+            ["nvidia-smi"],
+            capture_output=True,
+            timeout=5,
+        )
+        if result.returncode == 0:
+            return True
+    except (FileNotFoundError, subprocess.TimeoutExpired, OSError):
+        pass
+
+    # Fallback: kernel driver version file — present when NVIDIA driver is loaded
+    return Path("/proc/driver/nvidia/version").exists()
+
+
+def install_cuda(progress_callback=None):
+    """
+    Install CUDA-enabled torch and nvidia libraries into user site-packages.
+
+    Args:
+        progress_callback: Optional callable(str) called with status messages.
+    """
+    def report(msg):
+        logger.info(msg)
+        if progress_callback:
+            progress_callback(msg)
+
+    report("Installing CUDA-enabled PyTorch...")
+    _pip_install(
+        CUDA_TORCH_PACKAGES,
+        extra_args=["--index-url", CUDA_INDEX_URL, "--user"],
+        progress_callback=report,
+    )
+
+    report("Installing NVIDIA CUDA libraries...")
+    _pip_install(
+        CUDA_NVIDIA_PACKAGES,
+        extra_args=["--extra-index-url", CUDA_NVIDIA_INDEX_URL, "--user"],
+        progress_callback=report,
+    )
+
+    report("CUDA installation complete. Please restart Buzz to enable GPU acceleration.")
+
+
+def _pip_install(packages, extra_args=None, progress_callback=None):
+    cmd = [sys.executable, "-m", "pip", "install"] + packages
+    if extra_args:
+        cmd += extra_args
+
+    process = subprocess.Popen(
+        cmd,
+        stdout=subprocess.PIPE,
+        stderr=subprocess.STDOUT,
+        text=True,
+    )
+    for line in process.stdout:
+        line = line.rstrip()
+        if line and progress_callback:
+            progress_callback(line)
+
+    process.wait()
+    if process.returncode != 0:
+        raise RuntimeError(f"pip install failed with exit code {process.returncode}")
diff --git a/buzz/cuda_setup.py b/buzz/cuda_setup.py
index d99b402efa..69c82f14e2 100644
--- a/buzz/cuda_setup.py
+++ b/buzz/cuda_setup.py
@@ -25,8 +25,12 @@ def _get_nvidia_package_lib_dirs() -> list[Path]:
     """Find all nvidia package library directories in site-packages."""
     lib_dirs = []
 
-    # Find site-packages directories
+    # Find site-packages directories (including user site-packages for runtime-installed CUDA)
     site_packages_dirs = []
+    import site
+    user_site = site.getusersitepackages()
+    if user_site:
+        site_packages_dirs.append(Path(user_site))
     for path in sys.path:
         if "site-packages" in path:
             site_packages_dirs.append(Path(path))
diff --git a/buzz/settings/settings.py b/buzz/settings/settings.py
index 23a982308e..6380552854 100644
--- a/buzz/settings/settings.py
+++ b/buzz/settings/settings.py
@@ -94,6 +94,9 @@ class Key(enum.Enum):
 
         PLUGINS = "plugins"
 
+        CUDA_PROMPT_SHOWN = "cuda/prompt-shown"
+        CUDA_INSTALL_DECLINED = "cuda/install-declined"
+
     def get_user_identifier(self) -> str:
         user_id = self.value(self.Key.USER_IDENTIFIER, "")
         if not user_id:
diff --git a/buzz/widgets/cuda_installer_widget.py b/buzz/widgets/cuda_installer_widget.py
new file mode 100644
index 0000000000..010e1c2fa9
--- /dev/null
+++ b/buzz/widgets/cuda_installer_widget.py
@@ -0,0 +1,133 @@
+"""
+Dialog for installing GPU (CUDA) acceleration at runtime.
+"""
+
+import logging
+from typing import Optional
+
+from PyQt6.QtCore import QRunnable, QThreadPool, pyqtSignal, QObject
+from PyQt6.QtWidgets import (
+    QDialog,
+    QVBoxLayout,
+    QHBoxLayout,
+    QLabel,
+    QPushButton,
+    QProgressBar,
+    QTextEdit,
+    QWidget,
+)
+
+from buzz.locale import _
+from buzz.widgets.icon import BUZZ_ICON_PATH
+from PyQt6.QtGui import QIcon
+
+logger = logging.getLogger(__name__)
+
+
+class _InstallSignals(QObject):
+    progress = pyqtSignal(str)
+    finished = pyqtSignal()
+    error = pyqtSignal(str)
+
+
+class _InstallWorker(QRunnable):
+    def __init__(self):
+        super().__init__()
+        self.signals = _InstallSignals()
+
+    def run(self):
+        try:
+            from buzz.cuda_manager import install_cuda
+            install_cuda(progress_callback=self.signals.progress.emit)
+            self.signals.finished.emit()
+        except Exception as exc:
+            logger.exception("CUDA installation failed")
+            self.signals.error.emit(str(exc))
+
+
+class CudaInstallerDialog(QDialog):
+    """Dialog that offers to install CUDA GPU acceleration."""
+
+    def __init__(self, parent: Optional[QWidget] = None):
+        super().__init__(parent)
+        self.setWindowTitle(_("GPU Acceleration"))
+        self.setWindowIcon(QIcon(BUZZ_ICON_PATH))
+        self.setMinimumWidth(500)
+
+        layout = QVBoxLayout(self)
+        layout.setSpacing(12)
+
+        header = QLabel(_("Install GPU Acceleration?"))
+        header.setStyleSheet("font-size: 15px; font-weight: bold;")
+        layout.addWidget(header)
+
+        desc = QLabel(
+            _(
+                "An NVIDIA GPU was detected. Installing GPU acceleration allows Buzz "
+                "to transcribe audio significantly faster using CUDA.\n\n"
+                "This will download and install PyTorch with CUDA support (~2 GB). "
+                "Buzz must be restarted after installation."
+            )
+        )
+        desc.setWordWrap(True)
+        layout.addWidget(desc)
+
+        self.log_view = QTextEdit()
+        self.log_view.setReadOnly(True)
+        self.log_view.setMaximumHeight(120)
+        self.log_view.setVisible(False)
+        layout.addWidget(self.log_view)
+
+        self.progress_bar = QProgressBar()
+        self.progress_bar.setRange(0, 0)  # indeterminate
+        self.progress_bar.setVisible(False)
+        layout.addWidget(self.progress_bar)
+
+        self.status_label = QLabel("")
+        layout.addWidget(self.status_label)
+
+        button_layout = QHBoxLayout()
+        self.install_button = QPushButton(_("Install GPU Support"))
+        self.install_button.setDefault(True)
+        self.install_button.clicked.connect(self._on_install_clicked)
+
+        self.decline_button = QPushButton(_("Not Now"))
+        self.decline_button.clicked.connect(self.reject)
+
+        button_layout.addStretch()
+        button_layout.addWidget(self.decline_button)
+        button_layout.addWidget(self.install_button)
+        layout.addLayout(button_layout)
+
+    def _on_install_clicked(self):
+        self.install_button.setEnabled(False)
+        self.decline_button.setEnabled(False)
+        self.progress_bar.setVisible(True)
+        self.log_view.setVisible(True)
+
+        worker = _InstallWorker()
+        worker.signals.progress.connect(self._on_progress)
+        worker.signals.finished.connect(self._on_finished)
+        worker.signals.error.connect(self._on_error)
+
+        QThreadPool.globalInstance().start(worker)
+
+    def _on_progress(self, message: str):
+        self.log_view.append(message)
+        self.status_label.setText(message[:80])
+
+    def _on_finished(self):
+        self.progress_bar.setVisible(False)
+        self.status_label.setText(
+            _("Installation complete! Restart Buzz to enable GPU acceleration.")
+        )
+        self.install_button.setText(_("Close"))
+        self.install_button.setEnabled(True)
+        self.install_button.clicked.disconnect()
+        self.install_button.clicked.connect(self.accept)
+
+    def _on_error(self, error: str):
+        self.progress_bar.setVisible(False)
+        self.status_label.setText(_("Installation failed: {}").format(error))
+        self.install_button.setEnabled(True)
+        self.decline_button.setEnabled(True)
diff --git a/buzz/widgets/main_window.py b/buzz/widgets/main_window.py
index 1d80b908fa..52f5d3bd79 100644
--- a/buzz/widgets/main_window.py
+++ b/buzz/widgets/main_window.py
@@ -198,6 +198,9 @@ def __init__(self, transcription_service: TranscriptionService):
         #Initialize and run update checker
         self._init_update_checker()
 
+        #Offer CUDA installation on Windows if not done before
+        self._maybe_show_cuda_prompt()
+
     def on_preferences_changed(self, preferences: Preferences):
         self.preferences = preferences
         self.save_preferences(preferences)
@@ -637,6 +640,24 @@ def _on_update_available(self, update_info: UpdateInfo):
         self._update_info = update_info
         self.toolbar.set_update_available(True)
 
+    def _maybe_show_cuda_prompt(self):
+        """On first launch (Windows/Snap/Flatpak), offer CUDA installation if an NVIDIA GPU is present."""
+        from buzz import cuda_manager
+        if not cuda_manager.should_offer_cuda_prompt():
+            return
+        if self.settings.value(Settings.Key.CUDA_PROMPT_SHOWN, False):
+            return
+        self.settings.set_value(Settings.Key.CUDA_PROMPT_SHOWN, True)
+
+        if not cuda_manager.is_nvidia_gpu_present():
+            return
+        if cuda_manager.is_cuda_torch_installed():
+            return
+
+        from buzz.widgets.cuda_installer_widget import CudaInstallerDialog
+        dialog = CudaInstallerDialog(self)
+        dialog.show()
+
     def on_update_action_triggered(self):
         """Called when user clicks the update action in toolbar."""
         if self._update_info is None:
diff --git a/installer.iss b/installer.iss
index b13d5061f8..88ada84e64 100644
--- a/installer.iss
+++ b/installer.iss
@@ -26,7 +26,6 @@ OutputDir={#OutputDir}
 OutputBaseFilename={#AppName}-{#AppVersion}-windows
 SetupIconFile={#AppIconPath}
 UninstallDisplayIcon={app}\{#AppExeName}
-DiskSpanning=yes
 Compression=lzma
 SolidCompression=yes
 WizardStyle=modern

From 5edb15877e2941504dc004732af32307f9ac5a0d Mon Sep 17 00:00:00 2001
From: Raivis Dejus <orvils@gmail.com>
Date: Sun, 15 Mar 2026 19:13:48 +0200
Subject: [PATCH 02/35] Fix for running installation locally

---
 buzz/cuda_manager.py                  | 63 +++++++++++++++++++++++++--
 buzz/widgets/cuda_installer_widget.py |  3 +-
 buzz/widgets/main_window.py           | 16 ++++---
 3 files changed, 70 insertions(+), 12 deletions(-)

diff --git a/buzz/cuda_manager.py b/buzz/cuda_manager.py
index 737e58c575..a0bf50b793 100644
--- a/buzz/cuda_manager.py
+++ b/buzz/cuda_manager.py
@@ -74,9 +74,17 @@ def is_nvidia_gpu_present() -> bool:
     return Path("/proc/driver/nvidia/version").exists()
 
 
+def _in_virtualenv() -> bool:
+    """Returns True if running inside a virtualenv or uv venv."""
+    return sys.prefix != sys.base_prefix or "VIRTUAL_ENV" in os.environ
+
+
 def install_cuda(progress_callback=None):
     """
-    Install CUDA-enabled torch and nvidia libraries into user site-packages.
+    Install CUDA-enabled torch and nvidia libraries.
+
+    Installs to user site-packages when possible. Inside a virtualenv the
+    --user flag is omitted (pip forbids it) and packages go into the venv.
 
     Args:
         progress_callback: Optional callable(str) called with status messages.
@@ -86,25 +94,72 @@ def report(msg):
         if progress_callback:
             progress_callback(msg)
 
+    user_flag = [] if _in_virtualenv() else ["--user"]
+
     report("Installing CUDA-enabled PyTorch...")
     _pip_install(
         CUDA_TORCH_PACKAGES,
-        extra_args=["--index-url", CUDA_INDEX_URL, "--user"],
+        extra_args=["--index-url", CUDA_INDEX_URL] + user_flag,
         progress_callback=report,
     )
 
     report("Installing NVIDIA CUDA libraries...")
     _pip_install(
         CUDA_NVIDIA_PACKAGES,
-        extra_args=["--extra-index-url", CUDA_NVIDIA_INDEX_URL, "--user"],
+        extra_args=["--extra-index-url", CUDA_NVIDIA_INDEX_URL] + user_flag,
         progress_callback=report,
     )
 
     report("CUDA installation complete. Please restart Buzz to enable GPU acceleration.")
 
 
+def _get_pip_cmd() -> list[str]:
+    """Return a [python, '-m', 'pip'] command that is guaranteed to work.
+
+    Handles three environments:
+    - PyInstaller frozen bundle: sys.executable is the app binary; find a real
+      Python interpreter in PATH instead.
+    - Normal Python without pip (uv venv, minimal snap/flatpak image): bootstrap
+      pip via ensurepip, then retry.
+    - Normal Python with pip: use sys.executable directly.
+    """
+    import shutil
+
+    # Frozen PyInstaller bundle — sys.executable can't run -m pip
+    if getattr(sys, "frozen", False):
+        for candidate in ("python3", "python"):
+            python = shutil.which(candidate)
+            if python:
+                return [python, "-m", "pip"]
+        raise RuntimeError(
+            "Could not find a Python interpreter in PATH to run pip. "
+            "Please install Python and try again."
+        )
+
+    pip_cmd = [sys.executable, "-m", "pip"]
+
+    # Check if pip is already available
+    probe = subprocess.run(pip_cmd + ["--version"], capture_output=True, timeout=15)
+    if probe.returncode == 0:
+        return pip_cmd
+
+    # Try to bootstrap pip via ensurepip (available in CPython stdlib)
+    logger.info("pip not found, bootstrapping via ensurepip...")
+    bootstrap = subprocess.run(
+        [sys.executable, "-m", "ensurepip", "--upgrade"],
+        capture_output=True, timeout=60,
+    )
+    if bootstrap.returncode != 0:
+        raise RuntimeError(
+            "pip is not available and ensurepip failed. "
+            "Please install pip manually and try again."
+        )
+
+    return pip_cmd
+
+
 def _pip_install(packages, extra_args=None, progress_callback=None):
-    cmd = [sys.executable, "-m", "pip", "install"] + packages
+    cmd = _get_pip_cmd() + ["install"] + packages
     if extra_args:
         cmd += extra_args
 
diff --git a/buzz/widgets/cuda_installer_widget.py b/buzz/widgets/cuda_installer_widget.py
index 010e1c2fa9..04cff0f4ff 100644
--- a/buzz/widgets/cuda_installer_widget.py
+++ b/buzz/widgets/cuda_installer_widget.py
@@ -5,7 +5,7 @@
 import logging
 from typing import Optional
 
-from PyQt6.QtCore import QRunnable, QThreadPool, pyqtSignal, QObject
+from PyQt6.QtCore import QRunnable, QThreadPool, Qt, pyqtSignal, QObject
 from PyQt6.QtWidgets import (
     QDialog,
     QVBoxLayout,
@@ -53,6 +53,7 @@ def __init__(self, parent: Optional[QWidget] = None):
         self.setWindowTitle(_("GPU Acceleration"))
         self.setWindowIcon(QIcon(BUZZ_ICON_PATH))
         self.setMinimumWidth(500)
+        self.setWindowFlags(self.windowFlags() | Qt.WindowType.WindowStaysOnTopHint)
 
         layout = QVBoxLayout(self)
         layout.setSpacing(12)
diff --git a/buzz/widgets/main_window.py b/buzz/widgets/main_window.py
index 52f5d3bd79..1d5fd6e489 100644
--- a/buzz/widgets/main_window.py
+++ b/buzz/widgets/main_window.py
@@ -649,14 +649,16 @@ def _maybe_show_cuda_prompt(self):
             return
         self.settings.set_value(Settings.Key.CUDA_PROMPT_SHOWN, True)
 
-        if not cuda_manager.is_nvidia_gpu_present():
-            return
-        if cuda_manager.is_cuda_torch_installed():
-            return
-
+        from PyQt6.QtCore import QTimer
         from buzz.widgets.cuda_installer_widget import CudaInstallerDialog
-        dialog = CudaInstallerDialog(self)
-        dialog.show()
+
+        def _show():
+            dialog = CudaInstallerDialog(self)
+            dialog.show()
+            dialog.raise_()
+            dialog.activateWindow()
+
+        QTimer.singleShot(500, _show)
 
     def on_update_action_triggered(self):
         """Called when user clicks the update action in toolbar."""

From 5bab7b4a86378ccac20963d861555bed9c9ca473 Mon Sep 17 00:00:00 2001
From: Raivis Dejus <orvils@gmail.com>
Date: Fri, 27 Mar 2026 21:13:07 +0200
Subject: [PATCH 03/35] Forcing Torch CPU on Linux

---
 pyproject.toml |   31 +-
 uv.lock        | 3526 +++++++++++++++++++++---------------------------
 2 files changed, 1554 insertions(+), 2003 deletions(-)

diff --git a/pyproject.toml b/pyproject.toml
index f8291940f6..e51c4dd5ea 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -30,15 +30,11 @@ dependencies = [
     "bitsandbytes>=0.45.0",
     "polib>=1.2.0,<2",
     "srt-equalizer>=0.1.10,<0.2",
-    # For ARM macOS (arm64) - use latest CPU-only versions from PyPI
-    "torch==2.8.0; sys_platform == 'darwin'",
-    "torchaudio==2.8.0; sys_platform == 'darwin'",
     "ctranslate2>=4.6.2,<5; sys_platform == 'darwin'",
-    # For Linux/Windows - use CUDA versions from the pytorch index
-    # (routed via tool.uv.sources below to ensure CUDA 12.9 compatibility)
-    "torch==2.8.0; sys_platform != 'darwin'",
-    "torchaudio==2.8.0; sys_platform != 'darwin'",
+    # For Linux/Windows/ARM Mac - use CPU versions from pytorch index
     "ctranslate2>=4.6.2,<5; sys_platform != 'darwin'",
+    "torch==2.8.0+cpu; sys_platform != 'darwin' or platform_machine != 'x86_64'",
+    "torchaudio==2.8.0+cpu; sys_platform != 'darwin' or platform_machine != 'x86_64'",
     # faster whisper need cudnn 9
     "nvidia-cudnn-cu12>=9,<10; sys_platform != 'darwin'",
     # CUDA runtime libraries are provided by torch dependencies, no need to specify explicitly
@@ -131,26 +127,15 @@ default-groups = [
 
 [tool.uv.sources]
 torch = [
-    { index = "PyPI", marker = "sys_platform == 'darwin'" },
-    { index = "pytorch-cu129", marker = "sys_platform != 'darwin'" },
+  { index = "pytorch-cpu", marker = "sys_platform != 'darwin' or platform_machine != 'x86_64'" },
 ]
 torchaudio = [
-    { index = "PyPI", marker = "sys_platform == 'darwin'" },
-    { index = "pytorch-cu129", marker = "sys_platform != 'darwin'" },
+  { index = "pytorch-cpu", marker = "sys_platform != 'darwin' or platform_machine != 'x86_64'" },
 ]
-
-[[tool.uv.index]]
-name = "nvidia"
-url = "https://pypi.nvidia.com/"
-
-[[tool.uv.index]]
-name = "pytorch-cu129"
-url = "https://download.pytorch.org/whl/cu129"
-
 [[tool.uv.index]]
-name = "PyPI"
-url = "https://pypi.org/simple/"
-default = true
+name = "pytorch-cpu"
+url = "https://download.pytorch.org/whl/cpu"
+explicit = true
 
 [tool.hatch.metadata]
 allow-direct-references = true
diff --git a/uv.lock b/uv.lock
index 552dbcc7d6..8ba8a4d3b3 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,22 +1,25 @@
 version = 1
 revision = 3
-requires-python = "==3.13.*"
+requires-python = "==3.12.*"
 resolution-markers = [
     "(platform_machine != 'aarch64' and sys_platform == 'linux') or (platform_python_implementation != 'CPython' and sys_platform == 'linux')",
+    "sys_platform != 'darwin' and sys_platform != 'linux'",
     "platform_machine == 'aarch64' and platform_python_implementation == 'CPython' and sys_platform == 'linux'",
-    "sys_platform == 'win32'",
     "platform_machine == 'arm64' and sys_platform == 'darwin'",
+    "platform_machine == 'x86_64' and sys_platform == 'darwin'",
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     { name = "museval" },
     { name = "mypy" },
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     { name = "nltk" },
     { name = "numpy" },
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+version = "2026.3.3"
+source = { registry = "https://pypi.org/simple" }
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From d13bec541a274163cdee0455a3808fcc7ef34676 Mon Sep 17 00:00:00 2001
From: Raivis Dejus <orvils@gmail.com>
Date: Sat, 28 Mar 2026 13:59:28 +0200
Subject: [PATCH 04/35] Fixed issues in SNAPs

---
 buzz/cuda_manager.py                         | 43 +++++++++++++++-----
 buzz/cuda_setup.py                           | 20 +++++++++
 buzz/transcriber/recording_transcriber.py    |  4 +-
 buzz/transcriber/whisper_file_transcriber.py |  4 +-
 4 files changed, 58 insertions(+), 13 deletions(-)

diff --git a/buzz/cuda_manager.py b/buzz/cuda_manager.py
index a0bf50b793..95382d7a54 100644
--- a/buzz/cuda_manager.py
+++ b/buzz/cuda_manager.py
@@ -79,13 +79,36 @@ def _in_virtualenv() -> bool:
     return sys.prefix != sys.base_prefix or "VIRTUAL_ENV" in os.environ
 
 
+def _get_install_target() -> list[str]:
+    """Return pip target flags for the current environment.
+
+    In Snap/Flatpak the Python interpreter's user-site is disabled or points to
+    the read-only bundle, so we use --target with an explicit writable path.
+    In a virtualenv --user is forbidden; packages go into the venv directly.
+    Otherwise we use --user so packages land in ~/.local.
+    """
+    if is_snap():
+        snap_user_data = os.environ.get("SNAP_USER_DATA")
+        if snap_user_data:
+            target = str(Path(snap_user_data) / "cuda_packages")
+        else:
+            target = str(Path.home() / ".local" / "share" / "buzz" / "cuda_packages")
+        Path(target).mkdir(parents=True, exist_ok=True)
+        return ["--target", target]
+    if is_flatpak():
+        xdg_data = os.environ.get("XDG_DATA_HOME", str(Path.home() / ".local" / "share"))
+        target = str(Path(xdg_data) / "buzz" / "cuda_packages")
+        Path(target).mkdir(parents=True, exist_ok=True)
+        return ["--target", target]
+    if _in_virtualenv():
+        return []
+    return ["--user"]
+
+
 def install_cuda(progress_callback=None):
     """
     Install CUDA-enabled torch and nvidia libraries.
 
-    Installs to user site-packages when possible. Inside a virtualenv the
-    --user flag is omitted (pip forbids it) and packages go into the venv.
-
     Args:
         progress_callback: Optional callable(str) called with status messages.
     """
@@ -94,19 +117,19 @@ def report(msg):
         if progress_callback:
             progress_callback(msg)
 
-    user_flag = [] if _in_virtualenv() else ["--user"]
+    target_flags = _get_install_target()
 
-    report("Installing CUDA-enabled PyTorch...")
+    report("Installing NVIDIA CUDA libraries...")
     _pip_install(
-        CUDA_TORCH_PACKAGES,
-        extra_args=["--index-url", CUDA_INDEX_URL] + user_flag,
+        CUDA_NVIDIA_PACKAGES,
+        extra_args=["--extra-index-url", CUDA_NVIDIA_INDEX_URL] + target_flags,
         progress_callback=report,
     )
 
-    report("Installing NVIDIA CUDA libraries...")
+    report("Installing CUDA-enabled PyTorch...")
     _pip_install(
-        CUDA_NVIDIA_PACKAGES,
-        extra_args=["--extra-index-url", CUDA_NVIDIA_INDEX_URL] + user_flag,
+        CUDA_TORCH_PACKAGES,
+        extra_args=["--index-url", CUDA_INDEX_URL] + target_flags,
         progress_callback=report,
     )
 
diff --git a/buzz/cuda_setup.py b/buzz/cuda_setup.py
index 69c82f14e2..28dd935deb 100644
--- a/buzz/cuda_setup.py
+++ b/buzz/cuda_setup.py
@@ -21,6 +21,18 @@
 logger = logging.getLogger(__name__)
 
 
+def _get_cuda_target_dir() -> Path | None:
+    """Return the --target directory used during CUDA install for snap/flatpak, or None."""
+    snap_user_data = os.environ.get("SNAP_USER_DATA")
+    if snap_user_data:
+        return Path(snap_user_data) / "cuda_packages"
+    flatpak_id = os.environ.get("FLATPAK_ID")
+    if flatpak_id:
+        xdg_data = os.environ.get("XDG_DATA_HOME", str(Path.home() / ".local" / "share"))
+        return Path(xdg_data) / "buzz" / "cuda_packages"
+    return None
+
+
 def _get_nvidia_package_lib_dirs() -> list[Path]:
     """Find all nvidia package library directories in site-packages."""
     lib_dirs = []
@@ -28,6 +40,14 @@ def _get_nvidia_package_lib_dirs() -> list[Path]:
     # Find site-packages directories (including user site-packages for runtime-installed CUDA)
     site_packages_dirs = []
     import site
+
+    # For snap/flatpak, packages are installed to an explicit --target directory
+    cuda_target = _get_cuda_target_dir()
+    if cuda_target and cuda_target.exists():
+        if str(cuda_target) not in sys.path:
+            sys.path.insert(0, str(cuda_target))
+        site_packages_dirs.append(cuda_target)
+
     user_site = site.getusersitepackages()
     if user_site:
         site_packages_dirs.append(Path(user_site))
diff --git a/buzz/transcriber/recording_transcriber.py b/buzz/transcriber/recording_transcriber.py
index de64d95f34..b273abe3ab 100644
--- a/buzz/transcriber/recording_transcriber.py
+++ b/buzz/transcriber/recording_transcriber.py
@@ -78,6 +78,7 @@ def __init__(
         )
         self.process = None
         self._stderr_lines: list[bytes] = []
+        self.use_cuda = False
 
     def start(self):
         self.is_running = True
@@ -166,6 +167,7 @@ def _load_model(self):
 
         force_cpu = os.getenv("BUZZ_FORCE_CPU", "false")
         use_cuda = torch.cuda.is_available() and force_cpu == "false"
+        self.use_cuda = use_cuda
 
         if torch.cuda.is_available():
             logging.debug(f"CUDA version detected: {torch.version.cuda}")
@@ -261,7 +263,7 @@ def _transcribe_whisper(self, samples, model, initial_prompt):
             initial_prompt=initial_prompt,
             temperature=DEFAULT_WHISPER_TEMPERATURE,
             no_speech_threshold=0.4,
-            fp16=False,
+            fp16=self.use_cuda,
         )
 
     def _transcribe_faster_whisper(self, samples, model, initial_prompt):
diff --git a/buzz/transcriber/whisper_file_transcriber.py b/buzz/transcriber/whisper_file_transcriber.py
index b3660e8ea7..a815633259 100644
--- a/buzz/transcriber/whisper_file_transcriber.py
+++ b/buzz/transcriber/whisper_file_transcriber.py
@@ -423,7 +423,7 @@ def patched_torch_load(*args, **kwargs):
                 temperature=DEFAULT_WHISPER_TEMPERATURE,
                 initial_prompt=task.transcription_options.initial_prompt,
                 no_speech_threshold=0.4,
-                fp16=False,
+                fp16=use_cuda,
             )
             return [
                 Segment(
@@ -443,7 +443,7 @@ def patched_torch_load(*args, **kwargs):
             temperature=task.transcription_options.temperature,
             initial_prompt=task.transcription_options.initial_prompt,
             verbose=False,
-            fp16=False,
+            fp16=use_cuda,
         )
         segments = result.get("segments")
         return [

From 9c695c548de02d729bd507b1f675e8c10ca472c6 Mon Sep 17 00:00:00 2001
From: Raivis Dejus <orvils@gmail.com>
Date: Sat, 28 Mar 2026 19:43:20 +0200
Subject: [PATCH 05/35] Fixes for windows

---
 Buzz.spec                             | 24 ++++++++++++
 buzz/cuda_manager.py                  | 54 +++++++++++++++++++++++----
 buzz/cuda_setup.py                    | 39 +++++++++++++++----
 buzz/widgets/cuda_installer_widget.py |  4 +-
 4 files changed, 103 insertions(+), 18 deletions(-)

diff --git a/Buzz.spec b/Buzz.spec
index c7cdc1e61f..a6935dc4b9 100644
--- a/Buzz.spec
+++ b/Buzz.spec
@@ -105,6 +105,30 @@ else:
 
 binaries.append(("buzz/whisper_cpp/*", "buzz/whisper_cpp"))
 
+# Bundle a standalone Python 3.12 interpreter for runtime pip installs (e.g. CUDA).
+# We copy python.exe, DLLs, and the stdlib from the uv-managed base interpreter.
+if platform.system() == "Windows":
+    import sys as _sys
+    _base = _sys.base_prefix  # e.g. .../uv/python/cpython-3.12.12-windows-x86_64-none
+    _py_dest = "python"
+    if os.path.isfile(os.path.join(_base, "python.exe")):
+        binaries.append((os.path.join(_base, "python.exe"), _py_dest))
+        binaries.append((os.path.join(_base, "python3.dll"), _py_dest))
+        binaries.append((os.path.join(_base, "python312.dll"), _py_dest))
+        for _vcrt in ("vcruntime140.dll", "vcruntime140_1.dll"):
+            _vcrt_path = os.path.join(_base, _vcrt)
+            if os.path.isfile(_vcrt_path):
+                binaries.append((_vcrt_path, _py_dest))
+        # Bundle DLLs directory (C extensions like _ssl, _socket, etc.)
+        _dlls_dir = os.path.join(_base, "DLLs")
+        if os.path.isdir(_dlls_dir):
+            for _f in os.listdir(_dlls_dir):
+                binaries.append((os.path.join(_dlls_dir, _f), os.path.join(_py_dest, "DLLs")))
+        # Bundle standard library
+        datas.append((os.path.join(_base, "Lib"), os.path.join(_py_dest, "Lib")))
+    else:
+        print(f"WARNING: Could not find bundleable Python at {_base}")
+
 if platform.system() == "Windows":
     datas += [("dll_backup", "dll_backup")]
     datas += collect_data_files("msvc-runtime")
diff --git a/buzz/cuda_manager.py b/buzz/cuda_manager.py
index 95382d7a54..32423e087a 100644
--- a/buzz/cuda_manager.py
+++ b/buzz/cuda_manager.py
@@ -7,6 +7,7 @@
 import subprocess
 import sys
 from pathlib import Path
+from typing import Any
 
 logger = logging.getLogger(__name__)
 
@@ -47,8 +48,24 @@ def is_cuda_torch_installed() -> bool:
     """Returns True if torch with CUDA support is available."""
     try:
         import torch
-        return torch.cuda.is_available()
+        cuda_available = torch.cuda.is_available()
+        logger.info(
+            "CUDA check: torch version=%s, cuda_built=%s, cuda_available=%s, cuda_version=%s",
+            torch.__version__,
+            torch.version.cuda,
+            cuda_available,
+            torch.version.cuda if cuda_available else "N/A",
+        )
+        if not cuda_available and torch.version.cuda:
+            # CUDA was compiled in but is not available at runtime — likely a DLL loading issue
+            logger.warning(
+                "CUDA check: torch was built with CUDA %s but cuda is not available. "
+                "This usually means CUDA DLLs failed to load. torch.cuda.is_available() returned False.",
+                torch.version.cuda,
+            )
+        return cuda_available
     except ImportError:
+        logger.info("CUDA check: torch is not installed")
         return False
 
 
@@ -64,6 +81,7 @@ def is_nvidia_gpu_present() -> bool:
             ["nvidia-smi"],
             capture_output=True,
             timeout=5,
+            **_subprocess_hide_window_kwargs(),
         )
         if result.returncode == 0:
             return True
@@ -148,21 +166,30 @@ def _get_pip_cmd() -> list[str]:
     """
     import shutil
 
-    # Frozen PyInstaller bundle — sys.executable can't run -m pip
+    # Frozen PyInstaller bundle — sys.executable can't run -m pip.
+    # Use the bundled Python 3.12 interpreter shipped alongside the app.
     if getattr(sys, "frozen", False):
-        for candidate in ("python3", "python"):
+        # PyInstaller extracts bundled data to sys._MEIPASS (_internal dir)
+        internal_dir = Path(getattr(sys, "_MEIPASS", Path(sys.executable).parent))
+        python_name = "python.exe" if sys.platform == "win32" else "python3"
+        bundled_python = internal_dir / "python" / python_name
+        if bundled_python.is_file():
+            return [str(bundled_python), "-m", "pip"]
+        # Fallback: look in PATH
+        for candidate in ("python3.12", "python3", "python"):
             python = shutil.which(candidate)
             if python:
                 return [python, "-m", "pip"]
         raise RuntimeError(
-            "Could not find a Python interpreter in PATH to run pip. "
-            "Please install Python and try again."
+            "Could not find a Python interpreter. "
+            "Please install Python 3.12 and try again."
         )
 
     pip_cmd = [sys.executable, "-m", "pip"]
+    hide_kwargs = _subprocess_hide_window_kwargs()
 
     # Check if pip is already available
-    probe = subprocess.run(pip_cmd + ["--version"], capture_output=True, timeout=15)
+    probe = subprocess.run(pip_cmd + ["--version"], capture_output=True, timeout=15, **hide_kwargs)
     if probe.returncode == 0:
         return pip_cmd
 
@@ -170,7 +197,7 @@ def _get_pip_cmd() -> list[str]:
     logger.info("pip not found, bootstrapping via ensurepip...")
     bootstrap = subprocess.run(
         [sys.executable, "-m", "ensurepip", "--upgrade"],
-        capture_output=True, timeout=60,
+        capture_output=True, timeout=60, **hide_kwargs,
     )
     if bootstrap.returncode != 0:
         raise RuntimeError(
@@ -181,8 +208,18 @@ def _get_pip_cmd() -> list[str]:
     return pip_cmd
 
 
+def _subprocess_hide_window_kwargs() -> dict[str, Any]:
+    """Return kwargs to hide the console window on Windows."""
+    if sys.platform == "win32":
+        si = subprocess.STARTUPINFO()
+        si.dwFlags |= subprocess.STARTF_USESHOWWINDOW
+        si.wShowWindow = subprocess.SW_HIDE
+        return {"startupinfo": si, "creationflags": subprocess.CREATE_NO_WINDOW}
+    return {}
+
+
 def _pip_install(packages, extra_args=None, progress_callback=None):
-    cmd = _get_pip_cmd() + ["install"] + packages
+    cmd = _get_pip_cmd() + ["install", "--break-system-packages"] + packages
     if extra_args:
         cmd += extra_args
 
@@ -191,6 +228,7 @@ def _pip_install(packages, extra_args=None, progress_callback=None):
         stdout=subprocess.PIPE,
         stderr=subprocess.STDOUT,
         text=True,
+        **_subprocess_hide_window_kwargs(),
     )
     for line in process.stdout:
         line = line.rstrip()
diff --git a/buzz/cuda_setup.py b/buzz/cuda_setup.py
index 28dd935deb..316249c512 100644
--- a/buzz/cuda_setup.py
+++ b/buzz/cuda_setup.py
@@ -33,11 +33,8 @@ def _get_cuda_target_dir() -> Path | None:
     return None
 
 
-def _get_nvidia_package_lib_dirs() -> list[Path]:
-    """Find all nvidia package library directories in site-packages."""
-    lib_dirs = []
-
-    # Find site-packages directories (including user site-packages for runtime-installed CUDA)
+def _get_site_packages_dirs() -> list[Path]:
+    """Return all site-packages directories, including user site-packages."""
     site_packages_dirs = []
     import site
 
@@ -47,14 +44,30 @@ def _get_nvidia_package_lib_dirs() -> list[Path]:
         if str(cuda_target) not in sys.path:
             sys.path.insert(0, str(cuda_target))
         site_packages_dirs.append(cuda_target)
+        logger.info("CUDA target dir (snap/flatpak): %s", cuda_target)
 
     user_site = site.getusersitepackages()
     if user_site:
-        site_packages_dirs.append(Path(user_site))
+        user_site_path = Path(user_site)
+        site_packages_dirs.append(user_site_path)
+        logger.info("User site-packages: %s (exists=%s)", user_site_path, user_site_path.exists())
+        # Ensure user site-packages is on sys.path so torch can be imported
+        if str(user_site_path) not in sys.path and user_site_path.exists():
+            sys.path.insert(0, str(user_site_path))
+            logger.info("Added user site-packages to sys.path: %s", user_site_path)
     for path in sys.path:
         if "site-packages" in path:
             site_packages_dirs.append(Path(path))
 
+    return site_packages_dirs
+
+
+def _get_nvidia_package_lib_dirs() -> list[Path]:
+    """Find all nvidia package library directories in site-packages."""
+    lib_dirs = []
+
+    site_packages_dirs = _get_site_packages_dirs()
+
     # Also check relative to the current module for frozen apps
     if getattr(sys, "frozen", False):
         # For frozen apps, check the _internal directory
@@ -71,7 +84,7 @@ def _get_nvidia_package_lib_dirs() -> list[Path]:
                     if bin_subdir.exists():
                         lib_dirs.append(bin_subdir)
 
-    # Check each site-packages for nvidia packages
+    # Check each site-packages for nvidia packages AND torch/lib
     for sp_dir in site_packages_dirs:
         nvidia_dir = sp_dir / "nvidia"
         if nvidia_dir.exists():
@@ -84,6 +97,10 @@ def _get_nvidia_package_lib_dirs() -> list[Path]:
                     bin_subdir = pkg_dir / "bin"
                     if bin_subdir.exists():
                         lib_dirs.append(bin_subdir)
+        # torch/lib contains torch_cuda and other CUDA-related DLLs
+        torch_lib_dir = sp_dir / "torch" / "lib"
+        if torch_lib_dir.exists():
+            lib_dirs.append(torch_lib_dir)
 
     return lib_dirs
 
@@ -91,11 +108,14 @@ def _get_nvidia_package_lib_dirs() -> list[Path]:
 def _setup_windows_dll_directories():
     """Add nvidia library directories to Windows DLL search path."""
     lib_dirs = _get_nvidia_package_lib_dirs()
+    if not lib_dirs:
+        logger.warning("CUDA setup: no nvidia/torch library directories found")
     for lib_dir in lib_dirs:
         try:
             os.add_dll_directory(str(lib_dir))
+            logger.info("CUDA setup: added DLL directory: %s", lib_dir)
         except (OSError, AttributeError) as e:
-            pass
+            logger.warning("CUDA setup: failed to add DLL directory %s: %s", lib_dir, e)
 
 
 def _preload_linux_libraries():
@@ -142,6 +162,7 @@ def setup_cuda_libraries():
     or CUDA-dependent libraries are imported.
     """
     system = platform.system()
+    logger.info("CUDA setup: platform=%s, frozen=%s", system, getattr(sys, "frozen", False))
 
     if system == "Windows":
         _setup_windows_dll_directories()
@@ -149,6 +170,8 @@ def setup_cuda_libraries():
         _preload_linux_libraries()
     # macOS doesn't have CUDA support, so nothing to do
 
+    logger.info("CUDA setup: complete")
+
 
 # Auto-run setup when this module is imported
 setup_cuda_libraries()
diff --git a/buzz/widgets/cuda_installer_widget.py b/buzz/widgets/cuda_installer_widget.py
index 04cff0f4ff..3f2c39c9d4 100644
--- a/buzz/widgets/cuda_installer_widget.py
+++ b/buzz/widgets/cuda_installer_widget.py
@@ -75,9 +75,9 @@ def __init__(self, parent: Optional[QWidget] = None):
 
         self.log_view = QTextEdit()
         self.log_view.setReadOnly(True)
-        self.log_view.setMaximumHeight(120)
+        self.log_view.setMinimumHeight(120)
         self.log_view.setVisible(False)
-        layout.addWidget(self.log_view)
+        layout.addWidget(self.log_view, 1)  # stretch factor so it expands with window
 
         self.progress_bar = QProgressBar()
         self.progress_bar.setRange(0, 0)  # indeterminate

From 3d89dd06ffac5016f7fcde7c0645b898855ff4cb Mon Sep 17 00:00:00 2001
From: Raivis Dejus <orvils@gmail.com>
Date: Sat, 28 Mar 2026 21:12:35 +0200
Subject: [PATCH 06/35] Adding translations

---
 buzz/locale/ca_ES/LC_MESSAGES/buzz.po | 46 +++++++++++++++++++++++++++
 buzz/locale/da_DK/LC_MESSAGES/buzz.po | 46 +++++++++++++++++++++++++++
 buzz/locale/de_DE/LC_MESSAGES/buzz.po | 46 +++++++++++++++++++++++++++
 buzz/locale/en_US/LC_MESSAGES/buzz.po | 42 ++++++++++++++++++++++++
 buzz/locale/es_ES/LC_MESSAGES/buzz.po | 46 +++++++++++++++++++++++++++
 buzz/locale/it_IT/LC_MESSAGES/buzz.po | 46 +++++++++++++++++++++++++++
 buzz/locale/ja_JP/LC_MESSAGES/buzz.po | 46 +++++++++++++++++++++++++++
 buzz/locale/lv_LV/LC_MESSAGES/buzz.po | 46 +++++++++++++++++++++++++++
 buzz/locale/nl/LC_MESSAGES/buzz.po    | 46 +++++++++++++++++++++++++++
 buzz/locale/pl_PL/LC_MESSAGES/buzz.po | 46 +++++++++++++++++++++++++++
 buzz/locale/pt_BR/LC_MESSAGES/buzz.po | 46 +++++++++++++++++++++++++++
 buzz/locale/uk_UA/LC_MESSAGES/buzz.po | 46 +++++++++++++++++++++++++++
 buzz/locale/zh_CN/LC_MESSAGES/buzz.po | 46 +++++++++++++++++++++++++++
 buzz/locale/zh_TW/LC_MESSAGES/buzz.po | 46 +++++++++++++++++++++++++++
 buzz/widgets/about_dialog.py          | 11 +++++++
 buzz/widgets/cuda_installer_widget.py | 12 ++++---
 buzz/widgets/main_window.py           |  6 ++++
 17 files changed, 664 insertions(+), 5 deletions(-)

diff --git a/buzz/locale/ca_ES/LC_MESSAGES/buzz.po b/buzz/locale/ca_ES/LC_MESSAGES/buzz.po
index 87f7ec2d52..2d89e96eeb 100644
--- a/buzz/locale/ca_ES/LC_MESSAGES/buzz.po
+++ b/buzz/locale/ca_ES/LC_MESSAGES/buzz.po
@@ -777,6 +777,48 @@ msgstr ""
 "trobat.No s'ha pogut reiniciar la transcripció: no s'ha trobat el "
 "treballador del transcriptor."
 
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Nvidia GPU Acceleration"
+msgstr "Acceleració GPU Nvidia"
+
+#: buzz/widgets/cuda_installer_widget.py
+#, fuzzy
+msgid "Install Nvidia GPU Acceleration?"
+msgstr "Utilitza només la CPU i desactiveu l'acceleració de la GPU"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid ""
+"Installing GPU acceleration for Nvidia GPUS allows Buzz to transcribe audio "
+"significantly faster using CUDA. For other GPU brands this acceleration will "
+"have no effect\n"
+"\n"
+"This will download and install PyTorch with CUDA support (~2 GB). Buzz must "
+"be restarted after installation."
+msgstr ""
+"L'acceleració GPU per a Nvidia permet a Buzz transcriure àudio significativament més ràpid mitjançant CUDA. Per a altres marques de GPU, aquesta acceleració no tindrà cap efecte.\n"
+"\n"
+"Això descarregarà i instal·larà PyTorch amb suport CUDA (~2 GB). Buzz s'ha de reiniciar després de la instal·lació."
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Install GPU Support"
+msgstr "Instal·lar suport GPU"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Not Now"
+msgstr "Ara no"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Installation complete! Restart Buzz to enable GPU acceleration."
+msgstr "Instal·lació completada! Reinicieu Buzz per activar l'acceleració GPU."
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Close"
+msgstr "Tanca"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Installation failed: {}"
+msgstr "La instal·lació ha fallat: {}"
+
 #: buzz/widgets/recording_transcriber_widget.py
 msgid "Live Recording"
 msgstr "Enregistrament en directe"
@@ -1001,6 +1043,10 @@ msgstr "Comprova si hi ha actualitzacions"
 msgid "Show logs"
 msgstr "Mostra els registres"
 
+#: buzz/widgets/about_dialog.py
+msgid "Install CUDA Acceleration"
+msgstr "Instal·lar acceleració CUDA"
+
 #: buzz/widgets/about_dialog.py
 msgid "You're up to date!"
 msgstr "Estàs al dia!"
diff --git a/buzz/locale/da_DK/LC_MESSAGES/buzz.po b/buzz/locale/da_DK/LC_MESSAGES/buzz.po
index e0d0aae7f4..289b9aba19 100644
--- a/buzz/locale/da_DK/LC_MESSAGES/buzz.po
+++ b/buzz/locale/da_DK/LC_MESSAGES/buzz.po
@@ -771,6 +771,48 @@ msgstr ""
 "fundet.Kunne ikke genstarte transkription: transkriptionsprocessen blev ikke "
 "fundet."
 
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Nvidia GPU Acceleration"
+msgstr "Nvidia GPU-acceleration"
+
+#: buzz/widgets/cuda_installer_widget.py
+#, fuzzy
+msgid "Install Nvidia GPU Acceleration?"
+msgstr "Brug kun CPU og deaktiver GPU-acceleration"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid ""
+"Installing GPU acceleration for Nvidia GPUS allows Buzz to transcribe audio "
+"significantly faster using CUDA. For other GPU brands this acceleration will "
+"have no effect\n"
+"\n"
+"This will download and install PyTorch with CUDA support (~2 GB). Buzz must "
+"be restarted after installation."
+msgstr ""
+"Installation af GPU-acceleration til Nvidia GPU'er giver Buzz mulighed for at transskribere lyd betydeligt hurtigere ved hjælp af CUDA. For andre GPU-mærker vil denne acceleration ikke have nogen effekt.\n"
+"\n"
+"Dette vil downloade og installere PyTorch med CUDA-understøttelse (~2 GB). Buzz skal genstartes efter installation."
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Install GPU Support"
+msgstr "Installer GPU-understøttelse"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Not Now"
+msgstr "Ikke nu"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Installation complete! Restart Buzz to enable GPU acceleration."
+msgstr "Installation fuldført! Genstart Buzz for at aktivere GPU-acceleration."
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Close"
+msgstr ""
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Installation failed: {}"
+msgstr "Installation mislykkedes: {}"
+
 #: buzz/widgets/recording_transcriber_widget.py
 msgid "Live Recording"
 msgstr "Live optagelse"
@@ -995,6 +1037,10 @@ msgstr "Tjek for opdateringer"
 msgid "Show logs"
 msgstr "Vis logfiler"
 
+#: buzz/widgets/about_dialog.py
+msgid "Install CUDA Acceleration"
+msgstr "Installer CUDA-acceleration"
+
 #: buzz/widgets/about_dialog.py
 msgid "You're up to date!"
 msgstr "Du er opdateret!"
diff --git a/buzz/locale/de_DE/LC_MESSAGES/buzz.po b/buzz/locale/de_DE/LC_MESSAGES/buzz.po
index 66d9499dad..b45a991fee 100644
--- a/buzz/locale/de_DE/LC_MESSAGES/buzz.po
+++ b/buzz/locale/de_DE/LC_MESSAGES/buzz.po
@@ -781,6 +781,48 @@ msgstr ""
 "gefunden.Transkription konnte nicht neu gestartet werden: Transkriptions-"
 "Worker nicht gefunden."
 
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Nvidia GPU Acceleration"
+msgstr "Nvidia GPU-Beschleunigung"
+
+#: buzz/widgets/cuda_installer_widget.py
+#, fuzzy
+msgid "Install Nvidia GPU Acceleration?"
+msgstr "Nur CPU verwenden und GPU-Beschleunigung deaktivieren"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid ""
+"Installing GPU acceleration for Nvidia GPUS allows Buzz to transcribe audio "
+"significantly faster using CUDA. For other GPU brands this acceleration will "
+"have no effect\n"
+"\n"
+"This will download and install PyTorch with CUDA support (~2 GB). Buzz must "
+"be restarted after installation."
+msgstr ""
+"Die Installation der GPU-Beschleunigung für Nvidia GPUs ermöglicht es Buzz, Audio mithilfe von CUDA deutlich schneller zu transkribieren. Für andere GPU-Marken hat diese Beschleunigung keine Auswirkung.\n"
+"\n"
+"Dies lädt PyTorch mit CUDA-Unterstützung herunter und installiert es (~2 GB). Buzz muss nach der Installation neu gestartet werden."
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Install GPU Support"
+msgstr "GPU-Unterstützung installieren"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Not Now"
+msgstr "Nicht jetzt"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Installation complete! Restart Buzz to enable GPU acceleration."
+msgstr "Installation abgeschlossen! Starte Buzz neu, um die GPU-Beschleunigung zu aktivieren."
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Close"
+msgstr "Schließen"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Installation failed: {}"
+msgstr "Installation fehlgeschlagen: {}"
+
 #: buzz/widgets/recording_transcriber_widget.py
 msgid "Live Recording"
 msgstr "Live-Aufnahme"
@@ -1005,6 +1047,10 @@ msgstr "Nach Updates suchen"
 msgid "Show logs"
 msgstr "Protokolle anzeigen"
 
+#: buzz/widgets/about_dialog.py
+msgid "Install CUDA Acceleration"
+msgstr "CUDA-Beschleunigung installieren"
+
 #: buzz/widgets/about_dialog.py
 msgid "You're up to date!"
 msgstr "Sie sind auf dem Laufenden!"
diff --git a/buzz/locale/en_US/LC_MESSAGES/buzz.po b/buzz/locale/en_US/LC_MESSAGES/buzz.po
index e9935ad943..3dcc91460e 100644
--- a/buzz/locale/en_US/LC_MESSAGES/buzz.po
+++ b/buzz/locale/en_US/LC_MESSAGES/buzz.po
@@ -739,6 +739,44 @@ msgstr ""
 msgid "Could not restart transcription: transcriber worker not found."
 msgstr ""
 
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Nvidia GPU Acceleration"
+msgstr ""
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Install Nvidia GPU Acceleration?"
+msgstr ""
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid ""
+"Installing GPU acceleration for Nvidia GPUS allows Buzz to transcribe audio "
+"significantly faster using CUDA. For other GPU brands this acceleration will "
+"have no effect\n"
+"\n"
+"This will download and install PyTorch with CUDA support (~2 GB). Buzz must "
+"be restarted after installation."
+msgstr ""
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Install GPU Support"
+msgstr ""
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Not Now"
+msgstr ""
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Installation complete! Restart Buzz to enable GPU acceleration."
+msgstr ""
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Close"
+msgstr ""
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Installation failed: {}"
+msgstr ""
+
 #: buzz/widgets/recording_transcriber_widget.py
 msgid "Live Recording"
 msgstr ""
@@ -957,6 +995,10 @@ msgstr ""
 msgid "Show logs"
 msgstr ""
 
+#: buzz/widgets/about_dialog.py
+msgid "Install CUDA Acceleration"
+msgstr ""
+
 #: buzz/widgets/about_dialog.py
 msgid "You're up to date!"
 msgstr ""
diff --git a/buzz/locale/es_ES/LC_MESSAGES/buzz.po b/buzz/locale/es_ES/LC_MESSAGES/buzz.po
index d16d5623ed..d91e7d712f 100644
--- a/buzz/locale/es_ES/LC_MESSAGES/buzz.po
+++ b/buzz/locale/es_ES/LC_MESSAGES/buzz.po
@@ -805,6 +805,48 @@ msgstr ""
 "encontrado.No se pudo reiniciar la transcripción: no se encontró el "
 "trabajador del transcriptor."
 
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Nvidia GPU Acceleration"
+msgstr "Aceleración GPU de Nvidia"
+
+#: buzz/widgets/cuda_installer_widget.py
+#, fuzzy
+msgid "Install Nvidia GPU Acceleration?"
+msgstr "Usa solo CPU y desactiva la aceleración de GPU"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid ""
+"Installing GPU acceleration for Nvidia GPUS allows Buzz to transcribe audio "
+"significantly faster using CUDA. For other GPU brands this acceleration will "
+"have no effect\n"
+"\n"
+"This will download and install PyTorch with CUDA support (~2 GB). Buzz must "
+"be restarted after installation."
+msgstr ""
+"Instalar la aceleración GPU para GPUs Nvidia permite a Buzz transcribir audio significativamente más rápido usando CUDA. Para otras marcas de GPU esta aceleración no tendrá efecto.\n"
+"\n"
+"Esto descargará e instalará PyTorch con soporte CUDA (~2 GB). Buzz debe reiniciarse después de la instalación."
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Install GPU Support"
+msgstr "Instalar soporte GPU"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Not Now"
+msgstr "Ahora no"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Installation complete! Restart Buzz to enable GPU acceleration."
+msgstr "¡Instalación completa! Reinicia Buzz para activar la aceleración GPU."
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Close"
+msgstr "Cerrar"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Installation failed: {}"
+msgstr "La instalación falló: {}"
+
 # automatic translation
 #: buzz/widgets/recording_transcriber_widget.py
 msgid "Live Recording"
@@ -1036,6 +1078,10 @@ msgstr "Buscar actualizaciones"
 msgid "Show logs"
 msgstr "Mostrar registros"
 
+#: buzz/widgets/about_dialog.py
+msgid "Install CUDA Acceleration"
+msgstr "Instalar aceleración CUDA"
+
 # automatic translation
 #: buzz/widgets/about_dialog.py
 msgid "You're up to date!"
diff --git a/buzz/locale/it_IT/LC_MESSAGES/buzz.po b/buzz/locale/it_IT/LC_MESSAGES/buzz.po
index 2c5a5c2dcd..929309670b 100644
--- a/buzz/locale/it_IT/LC_MESSAGES/buzz.po
+++ b/buzz/locale/it_IT/LC_MESSAGES/buzz.po
@@ -776,6 +776,48 @@ msgstr ""
 msgid "Could not restart transcription: transcriber worker not found."
 msgstr "Impossibile riavviare la trascrizione: trascrittore non trovato."
 
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Nvidia GPU Acceleration"
+msgstr "Accelerazione GPU Nvidia"
+
+#: buzz/widgets/cuda_installer_widget.py
+#, fuzzy
+msgid "Install Nvidia GPU Acceleration?"
+msgstr "Utilizza solo la CPU e disattiva l'accelerazione GPU"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid ""
+"Installing GPU acceleration for Nvidia GPUS allows Buzz to transcribe audio "
+"significantly faster using CUDA. For other GPU brands this acceleration will "
+"have no effect\n"
+"\n"
+"This will download and install PyTorch with CUDA support (~2 GB). Buzz must "
+"be restarted after installation."
+msgstr ""
+"L'installazione dell'accelerazione GPU per GPU Nvidia consente a Buzz di trascrivere l'audio in modo significativamente più veloce tramite CUDA. Per altre marche di GPU questa accelerazione non avrà alcun effetto.\n"
+"\n"
+"Verranno scaricati e installati PyTorch con supporto CUDA (~2 GB). Buzz deve essere riavviato dopo l'installazione."
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Install GPU Support"
+msgstr "Installa supporto GPU"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Not Now"
+msgstr "Non ora"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Installation complete! Restart Buzz to enable GPU acceleration."
+msgstr "Installazione completata! Riavvia Buzz per abilitare l'accelerazione GPU."
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Close"
+msgstr "Chiudi"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Installation failed: {}"
+msgstr "Installazione fallita: {}"
+
 #: buzz/widgets/recording_transcriber_widget.py
 msgid "Live Recording"
 msgstr "Registrazione in diretta"
@@ -1000,6 +1042,10 @@ msgstr "Controlla gli aggiornamenti"
 msgid "Show logs"
 msgstr "Mostra log"
 
+#: buzz/widgets/about_dialog.py
+msgid "Install CUDA Acceleration"
+msgstr "Installa accelerazione CUDA"
+
 #: buzz/widgets/about_dialog.py
 msgid "You're up to date!"
 msgstr "Il programma è aggiornato!"
diff --git a/buzz/locale/ja_JP/LC_MESSAGES/buzz.po b/buzz/locale/ja_JP/LC_MESSAGES/buzz.po
index b8654eac9d..e4a50f1530 100644
--- a/buzz/locale/ja_JP/LC_MESSAGES/buzz.po
+++ b/buzz/locale/ja_JP/LC_MESSAGES/buzz.po
@@ -764,6 +764,48 @@ msgstr ""
 msgid "Could not restart transcription: transcriber worker not found."
 msgstr "文字起こしを再開できませんでした: 文字起こしワーカーが見つかりません。"
 
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Nvidia GPU Acceleration"
+msgstr "Nvidia GPU アクセラレーション"
+
+#: buzz/widgets/cuda_installer_widget.py
+#, fuzzy
+msgid "Install Nvidia GPU Acceleration?"
+msgstr "CPUのみを使用してGPUアクセラレーションを無効にする"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid ""
+"Installing GPU acceleration for Nvidia GPUS allows Buzz to transcribe audio "
+"significantly faster using CUDA. For other GPU brands this acceleration will "
+"have no effect\n"
+"\n"
+"This will download and install PyTorch with CUDA support (~2 GB). Buzz must "
+"be restarted after installation."
+msgstr ""
+"Nvidia GPU 向けの GPU アクセラレーションをインストールすると、CUDA を使用して Buzz が音声をはるかに高速に文字起こしできるようになります。他の GPU ブランドではこのアクセラレーションは効果がありません。\n"
+"\n"
+"CUDA サポート付きの PyTorch がダウンロード・インストールされます（約 2 GB）。インストール後、Buzz を再起動する必要があります。"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Install GPU Support"
+msgstr "GPU サポートをインストール"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Not Now"
+msgstr "後で"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Installation complete! Restart Buzz to enable GPU acceleration."
+msgstr "インストール完了！GPU アクセラレーションを有効にするには Buzz を再起動してください。"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Close"
+msgstr "閉じる"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Installation failed: {}"
+msgstr "インストールに失敗しました: {}"
+
 #: buzz/widgets/recording_transcriber_widget.py
 msgid "Live Recording"
 msgstr "ライブ録音"
@@ -988,6 +1030,10 @@ msgstr "アップデートを確認する"
 msgid "Show logs"
 msgstr "ログを表示"
 
+#: buzz/widgets/about_dialog.py
+msgid "Install CUDA Acceleration"
+msgstr "CUDA アクセラレーションをインストール"
+
 #: buzz/widgets/about_dialog.py
 msgid "You're up to date!"
 msgstr "最新の状態です!"
diff --git a/buzz/locale/lv_LV/LC_MESSAGES/buzz.po b/buzz/locale/lv_LV/LC_MESSAGES/buzz.po
index f455ff8675..9110fe2e6c 100644
--- a/buzz/locale/lv_LV/LC_MESSAGES/buzz.po
+++ b/buzz/locale/lv_LV/LC_MESSAGES/buzz.po
@@ -769,6 +769,48 @@ msgstr ""
 msgid "Could not restart transcription: transcriber worker not found."
 msgstr "Neizdevās sākt atpazīšanu: Kļūda lietotnē, pārstartējiet."
 
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Nvidia GPU Acceleration"
+msgstr "Nvidia GPU paātrinājums"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Install Nvidia GPU Acceleration?"
+msgstr "Instalēt Nvidia GPU paātrināšanu"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid ""
+"Installing GPU acceleration for Nvidia GPUS allows Buzz to transcribe audio "
+"significantly faster using CUDA. For other GPU brands this acceleration will "
+"have no effect\n"
+"\n"
+"This will download and install PyTorch with CUDA support (~2 GB). Buzz must "
+"be restarted after installation."
+msgstr ""
+"GPU paātrinājuma instalēšana Nvidia GPU kartēm ļauj Buzz ievērojami ātrāk atpazīt audio, izmantojot CUDA. "
+"Citu GPU ražotāju kartēm šim paātrinājumam nebūs nekādas ietekmes.\n"
+"\n"
+"Tiks lejupielādēts un instalēts PyTorch ar CUDA atbalstu (~2 GB). Pēc instalēšanas Buzz ir jārestartē."
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Install GPU Support"
+msgstr "Instalēt GPU atbalstu"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Not Now"
+msgstr "Ne tagad"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Installation complete! Restart Buzz to enable GPU acceleration."
+msgstr "Instalēšana pabeigta! Restartējiet Buzz, lai aktivizētu GPU paātrinājumu."
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Close"
+msgstr "Aizvērt"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Installation failed: {}"
+msgstr "Instalēšana neizdevās: {}"
+
 #: buzz/widgets/recording_transcriber_widget.py
 msgid "Live Recording"
 msgstr "Dzīvā ierakstīšana"
@@ -993,6 +1035,10 @@ msgstr "Pārbaudīt atjauninājumus"
 msgid "Show logs"
 msgstr "Parādīt sistēmas žurnālu"
 
+#: buzz/widgets/about_dialog.py
+msgid "Install CUDA Acceleration"
+msgstr "Instalēt CUDA paātrinājumu"
+
 #: buzz/widgets/about_dialog.py
 msgid "You're up to date!"
 msgstr "Jums ir jaunākā versija!"
diff --git a/buzz/locale/nl/LC_MESSAGES/buzz.po b/buzz/locale/nl/LC_MESSAGES/buzz.po
index d8ffcf72c9..45108d6c6e 100644
--- a/buzz/locale/nl/LC_MESSAGES/buzz.po
+++ b/buzz/locale/nl/LC_MESSAGES/buzz.po
@@ -781,6 +781,48 @@ msgstr ""
 "gevonden.Transcriptie kon niet opnieuw worden gestart: transcriptieproces "
 "niet gevonden."
 
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Nvidia GPU Acceleration"
+msgstr "Nvidia GPU-versnelling"
+
+#: buzz/widgets/cuda_installer_widget.py
+#, fuzzy
+msgid "Install Nvidia GPU Acceleration?"
+msgstr "Alleen CPU gebruiken en GPU-versnelling uitschakelen"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid ""
+"Installing GPU acceleration for Nvidia GPUS allows Buzz to transcribe audio "
+"significantly faster using CUDA. For other GPU brands this acceleration will "
+"have no effect\n"
+"\n"
+"This will download and install PyTorch with CUDA support (~2 GB). Buzz must "
+"be restarted after installation."
+msgstr ""
+"Het installeren van GPU-versnelling voor Nvidia GPU's stelt Buzz in staat om audio aanzienlijk sneller te transcriberen met CUDA. Voor andere GPU-merken heeft deze versnelling geen effect.\n"
+"\n"
+"Dit downloadt en installeert PyTorch met CUDA-ondersteuning (~2 GB). Buzz moet na de installatie opnieuw worden gestart."
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Install GPU Support"
+msgstr "GPU-ondersteuning installeren"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Not Now"
+msgstr "Niet nu"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Installation complete! Restart Buzz to enable GPU acceleration."
+msgstr "Installatie voltooid! Herstart Buzz om GPU-versnelling in te schakelen."
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Close"
+msgstr "Sluiten"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Installation failed: {}"
+msgstr "Installatie mislukt: {}"
+
 #: buzz/widgets/recording_transcriber_widget.py
 msgid "Live Recording"
 msgstr "Live-opname"
@@ -1003,6 +1045,10 @@ msgstr "Controleren op updates"
 msgid "Show logs"
 msgstr "Logboeken tonen"
 
+#: buzz/widgets/about_dialog.py
+msgid "Install CUDA Acceleration"
+msgstr "CUDA-versnelling installeren"
+
 #: buzz/widgets/about_dialog.py
 msgid "You're up to date!"
 msgstr "De software is actueel!"
diff --git a/buzz/locale/pl_PL/LC_MESSAGES/buzz.po b/buzz/locale/pl_PL/LC_MESSAGES/buzz.po
index 58dc0a406c..e97bff9746 100644
--- a/buzz/locale/pl_PL/LC_MESSAGES/buzz.po
+++ b/buzz/locale/pl_PL/LC_MESSAGES/buzz.po
@@ -773,6 +773,48 @@ msgstr ""
 "transkrypcji.Nie można uruchomić ponownie transkrypcji: nie znaleziono "
 "procesu transkrypcji."
 
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Nvidia GPU Acceleration"
+msgstr "Akceleracja GPU Nvidia"
+
+#: buzz/widgets/cuda_installer_widget.py
+#, fuzzy
+msgid "Install Nvidia GPU Acceleration?"
+msgstr "Używaj tylko CPU i wyłącz akcelerację GPU"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid ""
+"Installing GPU acceleration for Nvidia GPUS allows Buzz to transcribe audio "
+"significantly faster using CUDA. For other GPU brands this acceleration will "
+"have no effect\n"
+"\n"
+"This will download and install PyTorch with CUDA support (~2 GB). Buzz must "
+"be restarted after installation."
+msgstr ""
+"Instalacja akceleracji GPU dla kart Nvidia pozwala Buzz znacznie szybciej transkrybować dźwięk przy użyciu CUDA. Dla innych marek GPU ta akceleracja nie będzie miała żadnego efektu.\n"
+"\n"
+"Spowoduje to pobranie i zainstalowanie PyTorch z obsługą CUDA (~2 GB). Po instalacji Buzz musi zostać ponownie uruchomiony."
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Install GPU Support"
+msgstr "Zainstaluj obsługę GPU"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Not Now"
+msgstr "Nie teraz"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Installation complete! Restart Buzz to enable GPU acceleration."
+msgstr "Instalacja zakończona! Uruchom ponownie Buzz, aby włączyć akcelerację GPU."
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Close"
+msgstr ""
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Installation failed: {}"
+msgstr "Instalacja nie powiodła się: {}"
+
 #: buzz/widgets/recording_transcriber_widget.py
 msgid "Live Recording"
 msgstr "Nagrywanie na żywo"
@@ -997,6 +1039,10 @@ msgstr "Sprawdź aktualizacje"
 msgid "Show logs"
 msgstr "Pokaż logi"
 
+#: buzz/widgets/about_dialog.py
+msgid "Install CUDA Acceleration"
+msgstr "Zainstaluj akcelerację CUDA"
+
 #: buzz/widgets/about_dialog.py
 msgid "You're up to date!"
 msgstr "Posiadasz najnowszą wersję!"
diff --git a/buzz/locale/pt_BR/LC_MESSAGES/buzz.po b/buzz/locale/pt_BR/LC_MESSAGES/buzz.po
index 1a7dbf1ee1..c25f60694d 100644
--- a/buzz/locale/pt_BR/LC_MESSAGES/buzz.po
+++ b/buzz/locale/pt_BR/LC_MESSAGES/buzz.po
@@ -774,6 +774,48 @@ msgstr ""
 "encontrado.Não foi possível reiniciar a transcrição: trabalhador de "
 "transcrição não encontrado."
 
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Nvidia GPU Acceleration"
+msgstr "Aceleração GPU Nvidia"
+
+#: buzz/widgets/cuda_installer_widget.py
+#, fuzzy
+msgid "Install Nvidia GPU Acceleration?"
+msgstr "Usar somente a CPU e desabilitar aceleração por GPU"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid ""
+"Installing GPU acceleration for Nvidia GPUS allows Buzz to transcribe audio "
+"significantly faster using CUDA. For other GPU brands this acceleration will "
+"have no effect\n"
+"\n"
+"This will download and install PyTorch with CUDA support (~2 GB). Buzz must "
+"be restarted after installation."
+msgstr ""
+"Instalar a aceleração GPU para GPUs Nvidia permite ao Buzz transcrever áudio significativamente mais rápido usando CUDA. Para outras marcas de GPU, essa aceleração não terá efeito.\n"
+"\n"
+"Isso irá baixar e instalar o PyTorch com suporte a CUDA (~2 GB). O Buzz deve ser reiniciado após a instalação."
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Install GPU Support"
+msgstr "Instalar suporte a GPU"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Not Now"
+msgstr "Agora não"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Installation complete! Restart Buzz to enable GPU acceleration."
+msgstr "Instalação concluída! Reinicie o Buzz para ativar a aceleração GPU."
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Close"
+msgstr "Fechar"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Installation failed: {}"
+msgstr "Falha na instalação: {}"
+
 #: buzz/widgets/recording_transcriber_widget.py
 msgid "Live Recording"
 msgstr "Gravação ao Vivo"
@@ -998,6 +1040,10 @@ msgstr "Verificar atualizações"
 msgid "Show logs"
 msgstr "Mostrar logs"
 
+#: buzz/widgets/about_dialog.py
+msgid "Install CUDA Acceleration"
+msgstr "Instalar aceleração CUDA"
+
 #: buzz/widgets/about_dialog.py
 msgid "You're up to date!"
 msgstr "Você está atualizado!"
diff --git a/buzz/locale/uk_UA/LC_MESSAGES/buzz.po b/buzz/locale/uk_UA/LC_MESSAGES/buzz.po
index d7f5c97030..479fc193c4 100644
--- a/buzz/locale/uk_UA/LC_MESSAGES/buzz.po
+++ b/buzz/locale/uk_UA/LC_MESSAGES/buzz.po
@@ -771,6 +771,48 @@ msgstr ""
 "знайдено.Не вдалося перезапустити транскрипцію: обробник транскрипції не "
 "знайдено."
 
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Nvidia GPU Acceleration"
+msgstr "Апаратне прискорення Nvidia GPU"
+
+#: buzz/widgets/cuda_installer_widget.py
+#, fuzzy
+msgid "Install Nvidia GPU Acceleration?"
+msgstr "Використовувати лише CPU та вимкнути прискорення GPU"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid ""
+"Installing GPU acceleration for Nvidia GPUS allows Buzz to transcribe audio "
+"significantly faster using CUDA. For other GPU brands this acceleration will "
+"have no effect\n"
+"\n"
+"This will download and install PyTorch with CUDA support (~2 GB). Buzz must "
+"be restarted after installation."
+msgstr ""
+"Встановлення апаратного прискорення GPU для відеокарт Nvidia дозволяє Buzz значно швидше транскрибувати аудіо за допомогою CUDA. Для відеокарт інших виробників це прискорення не матиме жодного ефекту.\n"
+"\n"
+"Це завантажить і встановить PyTorch з підтримкою CUDA (~2 ГБ). Після встановлення необхідно перезапустити Buzz."
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Install GPU Support"
+msgstr "Встановити підтримку GPU"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Not Now"
+msgstr "Не зараз"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Installation complete! Restart Buzz to enable GPU acceleration."
+msgstr "Встановлення завершено! Перезапустіть Buzz, щоб увімкнути апаратне прискорення GPU."
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Close"
+msgstr "Закрити"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Installation failed: {}"
+msgstr "Помилка встановлення: {}"
+
 #: buzz/widgets/recording_transcriber_widget.py
 msgid "Live Recording"
 msgstr "Живий запис"
@@ -995,6 +1037,10 @@ msgstr "Перевірити оновлення"
 msgid "Show logs"
 msgstr "Показати журнали"
 
+#: buzz/widgets/about_dialog.py
+msgid "Install CUDA Acceleration"
+msgstr "Встановити прискорення CUDA"
+
 #: buzz/widgets/about_dialog.py
 msgid "You're up to date!"
 msgstr "У вас актуальна версія!"
diff --git a/buzz/locale/zh_CN/LC_MESSAGES/buzz.po b/buzz/locale/zh_CN/LC_MESSAGES/buzz.po
index 0551ed12bd..7185081d51 100644
--- a/buzz/locale/zh_CN/LC_MESSAGES/buzz.po
+++ b/buzz/locale/zh_CN/LC_MESSAGES/buzz.po
@@ -755,6 +755,48 @@ msgstr "无法重新开始识别：模型不可用且无法下载。"
 msgid "Could not restart transcription: transcriber worker not found."
 msgstr "无法重新开始识别：未找到识别工作进程。"
 
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Nvidia GPU Acceleration"
+msgstr "Nvidia GPU 加速"
+
+#: buzz/widgets/cuda_installer_widget.py
+#, fuzzy
+msgid "Install Nvidia GPU Acceleration?"
+msgstr "仅使用 CPU 并禁用 GPU 加速"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid ""
+"Installing GPU acceleration for Nvidia GPUS allows Buzz to transcribe audio "
+"significantly faster using CUDA. For other GPU brands this acceleration will "
+"have no effect\n"
+"\n"
+"This will download and install PyTorch with CUDA support (~2 GB). Buzz must "
+"be restarted after installation."
+msgstr ""
+"为 Nvidia GPU 安装 GPU 加速后，Buzz 可以使用 CUDA 显著加快音频转录速度。对于其他品牌的 GPU，此加速将不起作用。\n"
+"\n"
+"这将下载并安装支持 CUDA 的 PyTorch（约 2 GB）。安装完成后必须重启 Buzz。"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Install GPU Support"
+msgstr "安装 GPU 支持"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Not Now"
+msgstr "暂不安装"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Installation complete! Restart Buzz to enable GPU acceleration."
+msgstr "安装完成！请重启 Buzz 以启用 GPU 加速。"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Close"
+msgstr "关闭"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Installation failed: {}"
+msgstr "安装失败：{}"
+
 #: buzz/widgets/recording_transcriber_widget.py
 msgid "Live Recording"
 msgstr "实时录制"
@@ -975,6 +1017,10 @@ msgstr "检查更新"
 msgid "Show logs"
 msgstr "显示日志"
 
+#: buzz/widgets/about_dialog.py
+msgid "Install CUDA Acceleration"
+msgstr "安装 CUDA 加速"
+
 #: buzz/widgets/about_dialog.py
 msgid "You're up to date!"
 msgstr "已经是最新版本"
diff --git a/buzz/locale/zh_TW/LC_MESSAGES/buzz.po b/buzz/locale/zh_TW/LC_MESSAGES/buzz.po
index f1d2c438c1..d2863ec304 100644
--- a/buzz/locale/zh_TW/LC_MESSAGES/buzz.po
+++ b/buzz/locale/zh_TW/LC_MESSAGES/buzz.po
@@ -756,6 +756,48 @@ msgstr "無法重新開始轉錄：模型不可用且無法下載。"
 msgid "Could not restart transcription: transcriber worker not found."
 msgstr "無法重新開始轉錄：找不到轉錄工作器。"
 
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Nvidia GPU Acceleration"
+msgstr "Nvidia GPU 加速"
+
+#: buzz/widgets/cuda_installer_widget.py
+#, fuzzy
+msgid "Install Nvidia GPU Acceleration?"
+msgstr "僅使用 CPU 並停用 GPU 加速"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid ""
+"Installing GPU acceleration for Nvidia GPUS allows Buzz to transcribe audio "
+"significantly faster using CUDA. For other GPU brands this acceleration will "
+"have no effect\n"
+"\n"
+"This will download and install PyTorch with CUDA support (~2 GB). Buzz must "
+"be restarted after installation."
+msgstr ""
+"為 Nvidia GPU 安裝 GPU 加速後，Buzz 可以使用 CUDA 大幅提升音訊轉錄速度。對於其他品牌的 GPU，此加速將不起作用。\n"
+"\n"
+"這將下載並安裝支援 CUDA 的 PyTorch（約 2 GB）。安裝完成後必須重新啟動 Buzz。"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Install GPU Support"
+msgstr "安裝 GPU 支援"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Not Now"
+msgstr "暫不安裝"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Installation complete! Restart Buzz to enable GPU acceleration."
+msgstr "安裝完成！請重新啟動 Buzz 以啟用 GPU 加速。"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Close"
+msgstr ""
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Installation failed: {}"
+msgstr "安裝失敗：{}"
+
 #: buzz/widgets/recording_transcriber_widget.py
 msgid "Live Recording"
 msgstr "現場錄製"
@@ -976,6 +1018,10 @@ msgstr "檢查更新"
 msgid "Show logs"
 msgstr "顯示日誌"
 
+#: buzz/widgets/about_dialog.py
+msgid "Install CUDA Acceleration"
+msgstr "安裝 CUDA 加速"
+
 #: buzz/widgets/about_dialog.py
 msgid "You're up to date!"
 msgstr "你是最新的！"
diff --git a/buzz/widgets/about_dialog.py b/buzz/widgets/about_dialog.py
index 5c6b675730..8efaf62940 100644
--- a/buzz/widgets/about_dialog.py
+++ b/buzz/widgets/about_dialog.py
@@ -20,6 +20,7 @@
 from buzz.widgets.icon import BUZZ_ICON_PATH, BUZZ_LARGE_ICON_PATH
 from buzz.locale import _
 from buzz.settings.settings import APP_NAME
+from buzz.widgets.cuda_installer_widget import CudaInstallerDialog
 
 
 class AboutDialog(QDialog):
@@ -84,6 +85,9 @@ def __init__(
         self.show_logs_button = QPushButton(_("Show logs"), self)
         self.show_logs_button.clicked.connect(self.on_click_show_logs)
 
+        self.cuda_installer_button = QPushButton(_("Install CUDA Acceleration"), self)
+        self.cuda_installer_button.clicked.connect(self.on_click_cuda_installer)
+
         button_box = QDialogButtonBox(
             QDialogButtonBox.StandardButton(QDialogButtonBox.StandardButton.Close), self
         )
@@ -95,6 +99,7 @@ def __init__(
         layout.addWidget(version_label)
         layout.addWidget(self.check_updates_button)
         layout.addWidget(self.show_logs_button)
+        layout.addWidget(self.cuda_installer_button)
         layout.addWidget(button_box)
 
         self.setLayout(layout)
@@ -109,6 +114,12 @@ def on_click_show_logs(self):
         log_dir = user_log_dir(appname="Buzz")
         QDesktopServices.openUrl(QUrl.fromLocalFile(log_dir))
 
+    def on_click_cuda_installer(self):
+        dialog = CudaInstallerDialog(self)
+        dialog.show()
+        dialog.raise_()
+        dialog.activateWindow()
+
     def on_latest_release_reply(self, reply: QNetworkReply):
         if reply.error() == QNetworkReply.NetworkError.NoError:
             response = json.loads(reply.readAll().data())
diff --git a/buzz/widgets/cuda_installer_widget.py b/buzz/widgets/cuda_installer_widget.py
index 3f2c39c9d4..a4ecb6463a 100644
--- a/buzz/widgets/cuda_installer_widget.py
+++ b/buzz/widgets/cuda_installer_widget.py
@@ -50,22 +50,24 @@ class CudaInstallerDialog(QDialog):
 
     def __init__(self, parent: Optional[QWidget] = None):
         super().__init__(parent)
-        self.setWindowTitle(_("GPU Acceleration"))
+        self.setWindowTitle(_("Nvidia GPU Acceleration"))
         self.setWindowIcon(QIcon(BUZZ_ICON_PATH))
-        self.setMinimumWidth(500)
+        self.setMinimumWidth(600)
+        self.setMinimumHeight(400)
         self.setWindowFlags(self.windowFlags() | Qt.WindowType.WindowStaysOnTopHint)
 
         layout = QVBoxLayout(self)
         layout.setSpacing(12)
 
-        header = QLabel(_("Install GPU Acceleration?"))
+        header = QLabel(_("Install Nvidia GPU Acceleration?"))
         header.setStyleSheet("font-size: 15px; font-weight: bold;")
         layout.addWidget(header)
 
         desc = QLabel(
             _(
-                "An NVIDIA GPU was detected. Installing GPU acceleration allows Buzz "
-                "to transcribe audio significantly faster using CUDA.\n\n"
+                "Installing GPU acceleration for Nvidia GPUS allows Buzz "
+                "to transcribe audio significantly faster using CUDA. "
+                "For other GPU brands this acceleration will have no effect\n\n"
                 "This will download and install PyTorch with CUDA support (~2 GB). "
                 "Buzz must be restarted after installation."
             )
diff --git a/buzz/widgets/main_window.py b/buzz/widgets/main_window.py
index 1d5fd6e489..51703c8173 100644
--- a/buzz/widgets/main_window.py
+++ b/buzz/widgets/main_window.py
@@ -643,6 +643,12 @@ def _on_update_available(self, update_info: UpdateInfo):
     def _maybe_show_cuda_prompt(self):
         """On first launch (Windows/Snap/Flatpak), offer CUDA installation if an NVIDIA GPU is present."""
         from buzz import cuda_manager
+        is_nvidia_gpu_present = cuda_manager.is_nvidia_gpu_present()
+
+        logging.debug(f"Nvidia GPU detected: {is_nvidia_gpu_present}")
+
+        if not is_nvidia_gpu_present:
+            return
         if not cuda_manager.should_offer_cuda_prompt():
             return
         if self.settings.value(Settings.Key.CUDA_PROMPT_SHOWN, False):

From eff4bb1c647802f6d2b08747990a4be197757032 Mon Sep 17 00:00:00 2001
From: Raivis Dejus <orvils@gmail.com>
Date: Sun, 29 Mar 2026 09:10:30 +0300
Subject: [PATCH 07/35] Adding translations

---
 buzz/widgets/about_dialog.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/buzz/widgets/about_dialog.py b/buzz/widgets/about_dialog.py
index 8efaf62940..61165e8ee1 100644
--- a/buzz/widgets/about_dialog.py
+++ b/buzz/widgets/about_dialog.py
@@ -91,6 +91,7 @@ def __init__(
         button_box = QDialogButtonBox(
             QDialogButtonBox.StandardButton(QDialogButtonBox.StandardButton.Close), self
         )
+        button_box.button(QDialogButtonBox.StandardButton.Close).setText(_("Close"))
         button_box.accepted.connect(self.accept)
         button_box.rejected.connect(self.reject)
 

From 8edbe9fadd3c9662a26a3bc4cedba1d9cba6c70a Mon Sep 17 00:00:00 2001
From: Raivis Dejus <orvils@gmail.com>
Date: Sun, 29 Mar 2026 09:23:39 +0300
Subject: [PATCH 08/35] Version bump

---
 share/metainfo/io.github.chidiwilliams.Buzz.metainfo.xml | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/share/metainfo/io.github.chidiwilliams.Buzz.metainfo.xml b/share/metainfo/io.github.chidiwilliams.Buzz.metainfo.xml
index 9e1cc51af7..f3116731dd 100644
--- a/share/metainfo/io.github.chidiwilliams.Buzz.metainfo.xml
+++ b/share/metainfo/io.github.chidiwilliams.Buzz.metainfo.xml
@@ -73,6 +73,7 @@
           <li>Plugin system with plugins like AI summary generation and automated transcript resizing or noise filter</li>
           <li>Speaker identification improvements</li>
           <li>Appimage support for Linux</li>
+          <li>Minor fixes to model loading and initial prompt processing</li>
         </ul>
       </description>
     </release>
@@ -150,4 +151,4 @@
       </description>
     </release>
   </releases>
-</component>
+</component>
\ No newline at end of file

From 6f0fb9a4f723bdcee05113448a2601e8928c6b62 Mon Sep 17 00:00:00 2001
From: Raivis Dejus <orvils@gmail.com>
Date: Sun, 29 Mar 2026 12:47:54 +0300
Subject: [PATCH 09/35] Snap fix

---
 buzz/cuda_manager.py |  23 +++++++--
 buzz/cuda_setup.py   | 118 +++++++++++++++++++++++++++++++++++--------
 2 files changed, 115 insertions(+), 26 deletions(-)

diff --git a/buzz/cuda_manager.py b/buzz/cuda_manager.py
index 32423e087a..8c35d36692 100644
--- a/buzz/cuda_manager.py
+++ b/buzz/cuda_manager.py
@@ -11,18 +11,33 @@
 
 logger = logging.getLogger(__name__)
 
-# Pinned CUDA torch versions for in-app installation
+# Pinned versions matching uv.lock for the cu129 build of PyTorch.
+# All packages are served from the PyTorch wheel index; pip selects the
+# correct platform wheel automatically (Linux-only packages have no
+# Windows wheel and are silently skipped by pip on Windows).
 CUDA_INDEX_URL = "https://download.pytorch.org/whl/cu129"
 CUDA_TORCH_PACKAGES = [
     "torch==2.8.0+cu129",
     "torchaudio==2.8.0+cu129",
 ]
+# Full set of NVIDIA runtime libraries required by torch+cu129.
+# Versions are pinned to those resolved in uv.lock to prevent accidental upgrades.
 CUDA_NVIDIA_PACKAGES = [
     "nvidia-cublas-cu12==12.9.1.4",
     "nvidia-cuda-cupti-cu12==12.9.79",
+    "nvidia-cuda-nvrtc-cu12==12.9.86",
     "nvidia-cuda-runtime-cu12==12.9.79",
+    "nvidia-cudnn-cu12==9.10.2.21",
+    "nvidia-cufft-cu12==11.4.1.4",
+    "nvidia-cufile-cu12==1.14.1.1",
+    "nvidia-curand-cu12==10.3.10.19",
+    "nvidia-cusolver-cu12==11.7.5.82",
+    "nvidia-cusparse-cu12==12.5.10.65",
+    "nvidia-cusparselt-cu12==0.7.1",
+    "nvidia-nccl-cu12==2.27.3",
+    "nvidia-nvjitlink-cu12==12.9.86",
+    "nvidia-nvtx-cu12==12.9.79",
 ]
-CUDA_NVIDIA_INDEX_URL = "https://pypi.ngc.nvidia.com"
 
 
 def is_snap() -> bool:
@@ -140,14 +155,14 @@ def report(msg):
     report("Installing NVIDIA CUDA libraries...")
     _pip_install(
         CUDA_NVIDIA_PACKAGES,
-        extra_args=["--extra-index-url", CUDA_NVIDIA_INDEX_URL] + target_flags,
+        extra_args=["--index-url", CUDA_INDEX_URL] + target_flags,
         progress_callback=report,
     )
 
     report("Installing CUDA-enabled PyTorch...")
     _pip_install(
         CUDA_TORCH_PACKAGES,
-        extra_args=["--index-url", CUDA_INDEX_URL] + target_flags,
+        extra_args=["--index-url", CUDA_INDEX_URL, "--no-deps"] + target_flags,
         progress_callback=report,
     )
 
diff --git a/buzz/cuda_setup.py b/buzz/cuda_setup.py
index 316249c512..0b7bf8e569 100644
--- a/buzz/cuda_setup.py
+++ b/buzz/cuda_setup.py
@@ -6,7 +6,8 @@
 pip packages.
 
 On Windows: Uses os.add_dll_directory() to add library paths
-On Linux: Uses ctypes to preload libraries (LD_LIBRARY_PATH is read at process start)
+On Linux: Re-execs the process with LD_LIBRARY_PATH set when cuda_packages are present,
+          then preloads libraries with RTLD_GLOBAL for any remaining gaps.
 On macOS: No action needed (CUDA not supported)
 """
 
@@ -118,41 +119,114 @@ def _setup_windows_dll_directories():
             logger.warning("CUDA setup: failed to add DLL directory %s: %s", lib_dir, e)
 
 
-def _preload_linux_libraries():
-    """Preload CUDA libraries on Linux using ctypes.
+def _collect_cuda_lib_dirs(cuda_target: Path) -> list[str]:
+    """Return all library directories under cuda_packages as strings."""
+    lib_dirs: list[str] = []
 
-    On Linux, LD_LIBRARY_PATH is only read at process start, so we need to
-    manually load the libraries using ctypes before torch tries to load them.
-    """
-    lib_dirs = _get_nvidia_package_lib_dirs()
+    torch_lib = cuda_target / "torch" / "lib"
+    if torch_lib.exists():
+        lib_dirs.append(str(torch_lib))
 
-    # Libraries to skip - NVBLAS requires special configuration and causes issues
-    skip_patterns = ["libnvblas"]
+    nvidia_dir = cuda_target / "nvidia"
+    if nvidia_dir.exists():
+        for pkg_dir in sorted(nvidia_dir.iterdir()):
+            if pkg_dir.is_dir():
+                lib_subdir = pkg_dir / "lib"
+                if lib_subdir.exists():
+                    lib_dirs.append(str(lib_subdir))
+
+    return lib_dirs
 
-    loaded_libs = set()
 
+def _setup_linux_cuda():
+    """Set up CUDA libraries on Linux for snap/flatpak CUDA installs.
+
+    LD_LIBRARY_PATH is read by the dynamic linker only at process start, so
+    preloading individual .so files with ctypes is fragile: if *any* library
+    in the dependency chain (e.g. libcusparseLt.so.0 → libcuda.so.1) is not
+    yet in the search path, the load silently fails, and later imports of torch
+    or torchaudio crash with "cannot open shared object file".
+
+    The reliable fix is to re-exec the current process with LD_LIBRARY_PATH
+    extended to include all cuda_packages lib dirs.  After re-exec the dynamic
+    linker finds every CUDA library via the standard search path for the
+    entire lifetime of the process.
+
+    A sentinel value in LD_LIBRARY_PATH prevents infinite re-exec loops.
+    """
+    # Ensure cuda_packages is on sys.path so Python can import torch
+    _get_site_packages_dirs()
+
+    cuda_target = _get_cuda_target_dir()
+    if cuda_target is None or not cuda_target.exists():
+        logger.debug("CUDA setup: no cuda_packages dir found, skipping")
+        return
+
+    torch_lib = cuda_target / "torch" / "lib"
+    if not torch_lib.exists():
+        logger.debug("CUDA setup: no torch/lib in cuda_packages, skipping")
+        return
+
+    sentinel = str(torch_lib)
+    current_ld = os.environ.get("LD_LIBRARY_PATH", "")
+
+    if sentinel in current_ld.split(":"):
+        # Already re-exec'd (or user manually set the path) — nothing to do
+        logger.info("CUDA setup: LD_LIBRARY_PATH already contains cuda torch/lib, proceeding")
+        return
+
+    # Build new LD_LIBRARY_PATH: cuda_packages lib dirs prepended to existing path
+    extra_dirs = _collect_cuda_lib_dirs(cuda_target)
+    new_ld = ":".join(extra_dirs)
+    if current_ld:
+        new_ld = new_ld + ":" + current_ld
+    os.environ["LD_LIBRARY_PATH"] = new_ld
+
+    # Re-exec the process so the dynamic linker picks up the new LD_LIBRARY_PATH.
+    # We read the original argv from /proc/self/cmdline to preserve the exact
+    # invocation (works for both `python -m buzz` and frozen binaries).
+    try:
+        with open("/proc/self/cmdline", "rb") as f:
+            raw_args = [a.decode("utf-8", errors="replace") for a in f.read().split(b"\x00") if a]
+        executable = raw_args[0]
+        logger.info("CUDA setup: re-execing %s with LD_LIBRARY_PATH=%s", executable, new_ld)
+        os.execv(executable, raw_args)
+    except Exception as e:
+        # Re-exec failed (e.g. AppArmor restriction) — fall back to ctypes preloading
+        logger.warning("CUDA setup: re-exec failed (%s), falling back to ctypes preload", e)
+        _preload_linux_libraries_fallback()
+
+
+def _preload_linux_libraries_fallback():
+    """Fallback: preload CUDA .so files with RTLD_GLOBAL when re-exec is not possible."""
+    lib_dirs = _get_nvidia_package_lib_dirs()
+    skip_patterns = ["libnvblas"]
+    candidates = []
     for lib_dir in lib_dirs:
         if not lib_dir.exists():
             continue
-
-        # Find all .so files in the directory
         for lib_file in sorted(lib_dir.glob("*.so*")):
-            if lib_file.name in loaded_libs:
-                continue
             if lib_file.is_symlink() and not lib_file.exists():
                 continue
-
-            # Skip problematic libraries
-            if any(pattern in lib_file.name for pattern in skip_patterns):
+            if any(p in lib_file.name for p in skip_patterns):
                 continue
+            candidates.append(lib_file)
 
+    loaded: set[str] = set()
+    for pass_num in range(5):
+        newly = 0
+        for lib_file in candidates:
+            if lib_file.name in loaded:
+                continue
             try:
-                # Use RTLD_GLOBAL so symbols are available to other libraries
                 ctypes.CDLL(str(lib_file), mode=ctypes.RTLD_GLOBAL)
-                loaded_libs.add(lib_file.name)
+                loaded.add(lib_file.name)
+                newly += 1
             except OSError as e:
-                # Some libraries may have missing dependencies, that's ok
-                pass
+                logger.debug("Preload pass %d: skipping %s: %s", pass_num + 1, lib_file.name, e)
+        logger.info("Preload pass %d: +%d libs (%d total)", pass_num + 1, newly, len(loaded))
+        if newly == 0:
+            break
 
 
 def setup_cuda_libraries():
@@ -167,7 +241,7 @@ def setup_cuda_libraries():
     if system == "Windows":
         _setup_windows_dll_directories()
     elif system == "Linux":
-        _preload_linux_libraries()
+        _setup_linux_cuda()
     # macOS doesn't have CUDA support, so nothing to do
 
     logger.info("CUDA setup: complete")

From b57e0dc2698e2f9c1190b57b87bfb84963054d34 Mon Sep 17 00:00:00 2001
From: Raivis Dejus <orvils@gmail.com>
Date: Sun, 29 Mar 2026 12:52:30 +0300
Subject: [PATCH 10/35] Snap fix

---
 buzz/cuda_manager.py | 21 ++++++++++++++++-----
 1 file changed, 16 insertions(+), 5 deletions(-)

diff --git a/buzz/cuda_manager.py b/buzz/cuda_manager.py
index 8c35d36692..e251c6f658 100644
--- a/buzz/cuda_manager.py
+++ b/buzz/cuda_manager.py
@@ -20,14 +20,22 @@
     "torch==2.8.0+cu129",
     "torchaudio==2.8.0+cu129",
 ]
-# Full set of NVIDIA runtime libraries required by torch+cu129.
+
+# NVIDIA runtime libraries — sourced from the official NVIDIA PyPI index.
 # Versions are pinned to those resolved in uv.lock to prevent accidental upgrades.
-CUDA_NVIDIA_PACKAGES = [
+CUDA_NVIDIA_INDEX_URL = "https://pypi.ngc.nvidia.com"
+
+# Packages that have wheels for both Linux and Windows (verified via uv.lock).
+CUDA_NVIDIA_PACKAGES_COMMON = [
     "nvidia-cublas-cu12==12.9.1.4",
+    "nvidia-cudnn-cu12==9.10.2.21",
+]
+
+# Packages that only have Linux (manylinux) wheels in uv.lock.
+CUDA_NVIDIA_PACKAGES_LINUX = [
     "nvidia-cuda-cupti-cu12==12.9.79",
     "nvidia-cuda-nvrtc-cu12==12.9.86",
     "nvidia-cuda-runtime-cu12==12.9.79",
-    "nvidia-cudnn-cu12==9.10.2.21",
     "nvidia-cufft-cu12==11.4.1.4",
     "nvidia-cufile-cu12==1.14.1.1",
     "nvidia-curand-cu12==10.3.10.19",
@@ -152,10 +160,13 @@ def report(msg):
 
     target_flags = _get_install_target()
 
+    nvidia_packages = CUDA_NVIDIA_PACKAGES_COMMON + (
+        CUDA_NVIDIA_PACKAGES_LINUX if sys.platform != "win32" else []
+    )
     report("Installing NVIDIA CUDA libraries...")
     _pip_install(
-        CUDA_NVIDIA_PACKAGES,
-        extra_args=["--index-url", CUDA_INDEX_URL] + target_flags,
+        nvidia_packages,
+        extra_args=["--index-url", CUDA_NVIDIA_INDEX_URL] + target_flags,
         progress_callback=report,
     )
 

From 140dcb68aec4b7641b485e53ef27d36fb606c4af Mon Sep 17 00:00:00 2001
From: Raivis Dejus <orvils@gmail.com>
Date: Sun, 29 Mar 2026 13:39:53 +0300
Subject: [PATCH 11/35] Snap fix

---
 buzz/cuda_manager.py                  | 4 +---
 buzz/locale/ca_ES/LC_MESSAGES/buzz.po | 4 ++--
 buzz/locale/da_DK/LC_MESSAGES/buzz.po | 4 ++--
 buzz/locale/de_DE/LC_MESSAGES/buzz.po | 4 ++--
 buzz/locale/en_US/LC_MESSAGES/buzz.po | 2 +-
 buzz/locale/es_ES/LC_MESSAGES/buzz.po | 4 ++--
 buzz/locale/it_IT/LC_MESSAGES/buzz.po | 4 ++--
 buzz/locale/ja_JP/LC_MESSAGES/buzz.po | 2 +-
 buzz/locale/lv_LV/LC_MESSAGES/buzz.po | 4 ++--
 buzz/locale/nl/LC_MESSAGES/buzz.po    | 4 ++--
 buzz/locale/pl_PL/LC_MESSAGES/buzz.po | 4 ++--
 buzz/locale/pt_BR/LC_MESSAGES/buzz.po | 4 ++--
 buzz/locale/uk_UA/LC_MESSAGES/buzz.po | 2 +-
 buzz/locale/zh_CN/LC_MESSAGES/buzz.po | 2 +-
 buzz/locale/zh_TW/LC_MESSAGES/buzz.po | 2 +-
 buzz/widgets/cuda_installer_widget.py | 2 +-
 16 files changed, 25 insertions(+), 27 deletions(-)

diff --git a/buzz/cuda_manager.py b/buzz/cuda_manager.py
index e251c6f658..3e9e97eda5 100644
--- a/buzz/cuda_manager.py
+++ b/buzz/cuda_manager.py
@@ -23,8 +23,6 @@
 
 # NVIDIA runtime libraries — sourced from the official NVIDIA PyPI index.
 # Versions are pinned to those resolved in uv.lock to prevent accidental upgrades.
-CUDA_NVIDIA_INDEX_URL = "https://pypi.ngc.nvidia.com"
-
 # Packages that have wheels for both Linux and Windows (verified via uv.lock).
 CUDA_NVIDIA_PACKAGES_COMMON = [
     "nvidia-cublas-cu12==12.9.1.4",
@@ -166,7 +164,7 @@ def report(msg):
     report("Installing NVIDIA CUDA libraries...")
     _pip_install(
         nvidia_packages,
-        extra_args=["--index-url", CUDA_NVIDIA_INDEX_URL] + target_flags,
+        extra_args=["--index-url", CUDA_INDEX_URL] + target_flags,
         progress_callback=report,
     )
 
diff --git a/buzz/locale/ca_ES/LC_MESSAGES/buzz.po b/buzz/locale/ca_ES/LC_MESSAGES/buzz.po
index 2d89e96eeb..f988780479 100644
--- a/buzz/locale/ca_ES/LC_MESSAGES/buzz.po
+++ b/buzz/locale/ca_ES/LC_MESSAGES/buzz.po
@@ -792,12 +792,12 @@ msgid ""
 "significantly faster using CUDA. For other GPU brands this acceleration will "
 "have no effect\n"
 "\n"
-"This will download and install PyTorch with CUDA support (~2 GB). Buzz must "
+"This will download and install PyTorch with CUDA support (~8 GB). Buzz must "
 "be restarted after installation."
 msgstr ""
 "L'acceleració GPU per a Nvidia permet a Buzz transcriure àudio significativament més ràpid mitjançant CUDA. Per a altres marques de GPU, aquesta acceleració no tindrà cap efecte.\n"
 "\n"
-"Això descarregarà i instal·larà PyTorch amb suport CUDA (~2 GB). Buzz s'ha de reiniciar després de la instal·lació."
+"Això descarregarà i instal·larà PyTorch amb suport CUDA (~8 GB). Buzz s'ha de reiniciar després de la instal·lació."
 
 #: buzz/widgets/cuda_installer_widget.py
 msgid "Install GPU Support"
diff --git a/buzz/locale/da_DK/LC_MESSAGES/buzz.po b/buzz/locale/da_DK/LC_MESSAGES/buzz.po
index 289b9aba19..b089e3eb97 100644
--- a/buzz/locale/da_DK/LC_MESSAGES/buzz.po
+++ b/buzz/locale/da_DK/LC_MESSAGES/buzz.po
@@ -786,12 +786,12 @@ msgid ""
 "significantly faster using CUDA. For other GPU brands this acceleration will "
 "have no effect\n"
 "\n"
-"This will download and install PyTorch with CUDA support (~2 GB). Buzz must "
+"This will download and install PyTorch with CUDA support (~8 GB). Buzz must "
 "be restarted after installation."
 msgstr ""
 "Installation af GPU-acceleration til Nvidia GPU'er giver Buzz mulighed for at transskribere lyd betydeligt hurtigere ved hjælp af CUDA. For andre GPU-mærker vil denne acceleration ikke have nogen effekt.\n"
 "\n"
-"Dette vil downloade og installere PyTorch med CUDA-understøttelse (~2 GB). Buzz skal genstartes efter installation."
+"Dette vil downloade og installere PyTorch med CUDA-understøttelse (~8 GB). Buzz skal genstartes efter installation."
 
 #: buzz/widgets/cuda_installer_widget.py
 msgid "Install GPU Support"
diff --git a/buzz/locale/de_DE/LC_MESSAGES/buzz.po b/buzz/locale/de_DE/LC_MESSAGES/buzz.po
index b45a991fee..eee8c663de 100644
--- a/buzz/locale/de_DE/LC_MESSAGES/buzz.po
+++ b/buzz/locale/de_DE/LC_MESSAGES/buzz.po
@@ -796,12 +796,12 @@ msgid ""
 "significantly faster using CUDA. For other GPU brands this acceleration will "
 "have no effect\n"
 "\n"
-"This will download and install PyTorch with CUDA support (~2 GB). Buzz must "
+"This will download and install PyTorch with CUDA support (~8 GB). Buzz must "
 "be restarted after installation."
 msgstr ""
 "Die Installation der GPU-Beschleunigung für Nvidia GPUs ermöglicht es Buzz, Audio mithilfe von CUDA deutlich schneller zu transkribieren. Für andere GPU-Marken hat diese Beschleunigung keine Auswirkung.\n"
 "\n"
-"Dies lädt PyTorch mit CUDA-Unterstützung herunter und installiert es (~2 GB). Buzz muss nach der Installation neu gestartet werden."
+"Dies lädt PyTorch mit CUDA-Unterstützung herunter und installiert es (~8 GB). Buzz muss nach der Installation neu gestartet werden."
 
 #: buzz/widgets/cuda_installer_widget.py
 msgid "Install GPU Support"
diff --git a/buzz/locale/en_US/LC_MESSAGES/buzz.po b/buzz/locale/en_US/LC_MESSAGES/buzz.po
index 3dcc91460e..1a7335e19a 100644
--- a/buzz/locale/en_US/LC_MESSAGES/buzz.po
+++ b/buzz/locale/en_US/LC_MESSAGES/buzz.po
@@ -753,7 +753,7 @@ msgid ""
 "significantly faster using CUDA. For other GPU brands this acceleration will "
 "have no effect\n"
 "\n"
-"This will download and install PyTorch with CUDA support (~2 GB). Buzz must "
+"This will download and install PyTorch with CUDA support (~8 GB). Buzz must "
 "be restarted after installation."
 msgstr ""
 
diff --git a/buzz/locale/es_ES/LC_MESSAGES/buzz.po b/buzz/locale/es_ES/LC_MESSAGES/buzz.po
index d91e7d712f..81bd9000d1 100644
--- a/buzz/locale/es_ES/LC_MESSAGES/buzz.po
+++ b/buzz/locale/es_ES/LC_MESSAGES/buzz.po
@@ -820,12 +820,12 @@ msgid ""
 "significantly faster using CUDA. For other GPU brands this acceleration will "
 "have no effect\n"
 "\n"
-"This will download and install PyTorch with CUDA support (~2 GB). Buzz must "
+"This will download and install PyTorch with CUDA support (~8 GB). Buzz must "
 "be restarted after installation."
 msgstr ""
 "Instalar la aceleración GPU para GPUs Nvidia permite a Buzz transcribir audio significativamente más rápido usando CUDA. Para otras marcas de GPU esta aceleración no tendrá efecto.\n"
 "\n"
-"Esto descargará e instalará PyTorch con soporte CUDA (~2 GB). Buzz debe reiniciarse después de la instalación."
+"Esto descargará e instalará PyTorch con soporte CUDA (~8 GB). Buzz debe reiniciarse después de la instalación."
 
 #: buzz/widgets/cuda_installer_widget.py
 msgid "Install GPU Support"
diff --git a/buzz/locale/it_IT/LC_MESSAGES/buzz.po b/buzz/locale/it_IT/LC_MESSAGES/buzz.po
index 929309670b..a5003d25d8 100644
--- a/buzz/locale/it_IT/LC_MESSAGES/buzz.po
+++ b/buzz/locale/it_IT/LC_MESSAGES/buzz.po
@@ -791,12 +791,12 @@ msgid ""
 "significantly faster using CUDA. For other GPU brands this acceleration will "
 "have no effect\n"
 "\n"
-"This will download and install PyTorch with CUDA support (~2 GB). Buzz must "
+"This will download and install PyTorch with CUDA support (~8 GB). Buzz must "
 "be restarted after installation."
 msgstr ""
 "L'installazione dell'accelerazione GPU per GPU Nvidia consente a Buzz di trascrivere l'audio in modo significativamente più veloce tramite CUDA. Per altre marche di GPU questa accelerazione non avrà alcun effetto.\n"
 "\n"
-"Verranno scaricati e installati PyTorch con supporto CUDA (~2 GB). Buzz deve essere riavviato dopo l'installazione."
+"Verranno scaricati e installati PyTorch con supporto CUDA (~8 GB). Buzz deve essere riavviato dopo l'installazione."
 
 #: buzz/widgets/cuda_installer_widget.py
 msgid "Install GPU Support"
diff --git a/buzz/locale/ja_JP/LC_MESSAGES/buzz.po b/buzz/locale/ja_JP/LC_MESSAGES/buzz.po
index e4a50f1530..b8d16b01c4 100644
--- a/buzz/locale/ja_JP/LC_MESSAGES/buzz.po
+++ b/buzz/locale/ja_JP/LC_MESSAGES/buzz.po
@@ -779,7 +779,7 @@ msgid ""
 "significantly faster using CUDA. For other GPU brands this acceleration will "
 "have no effect\n"
 "\n"
-"This will download and install PyTorch with CUDA support (~2 GB). Buzz must "
+"This will download and install PyTorch with CUDA support (~8 GB). Buzz must "
 "be restarted after installation."
 msgstr ""
 "Nvidia GPU 向けの GPU アクセラレーションをインストールすると、CUDA を使用して Buzz が音声をはるかに高速に文字起こしできるようになります。他の GPU ブランドではこのアクセラレーションは効果がありません。\n"
diff --git a/buzz/locale/lv_LV/LC_MESSAGES/buzz.po b/buzz/locale/lv_LV/LC_MESSAGES/buzz.po
index 9110fe2e6c..c3635583a2 100644
--- a/buzz/locale/lv_LV/LC_MESSAGES/buzz.po
+++ b/buzz/locale/lv_LV/LC_MESSAGES/buzz.po
@@ -783,13 +783,13 @@ msgid ""
 "significantly faster using CUDA. For other GPU brands this acceleration will "
 "have no effect\n"
 "\n"
-"This will download and install PyTorch with CUDA support (~2 GB). Buzz must "
+"This will download and install PyTorch with CUDA support (~8 GB). Buzz must "
 "be restarted after installation."
 msgstr ""
 "GPU paātrinājuma instalēšana Nvidia GPU kartēm ļauj Buzz ievērojami ātrāk atpazīt audio, izmantojot CUDA. "
 "Citu GPU ražotāju kartēm šim paātrinājumam nebūs nekādas ietekmes.\n"
 "\n"
-"Tiks lejupielādēts un instalēts PyTorch ar CUDA atbalstu (~2 GB). Pēc instalēšanas Buzz ir jārestartē."
+"Tiks lejupielādēts un instalēts PyTorch ar CUDA atbalstu (~8 GB). Pēc instalēšanas Buzz ir jārestartē."
 
 #: buzz/widgets/cuda_installer_widget.py
 msgid "Install GPU Support"
diff --git a/buzz/locale/nl/LC_MESSAGES/buzz.po b/buzz/locale/nl/LC_MESSAGES/buzz.po
index 45108d6c6e..393c31ffd9 100644
--- a/buzz/locale/nl/LC_MESSAGES/buzz.po
+++ b/buzz/locale/nl/LC_MESSAGES/buzz.po
@@ -796,12 +796,12 @@ msgid ""
 "significantly faster using CUDA. For other GPU brands this acceleration will "
 "have no effect\n"
 "\n"
-"This will download and install PyTorch with CUDA support (~2 GB). Buzz must "
+"This will download and install PyTorch with CUDA support (~8 GB). Buzz must "
 "be restarted after installation."
 msgstr ""
 "Het installeren van GPU-versnelling voor Nvidia GPU's stelt Buzz in staat om audio aanzienlijk sneller te transcriberen met CUDA. Voor andere GPU-merken heeft deze versnelling geen effect.\n"
 "\n"
-"Dit downloadt en installeert PyTorch met CUDA-ondersteuning (~2 GB). Buzz moet na de installatie opnieuw worden gestart."
+"Dit downloadt en installeert PyTorch met CUDA-ondersteuning (~8 GB). Buzz moet na de installatie opnieuw worden gestart."
 
 #: buzz/widgets/cuda_installer_widget.py
 msgid "Install GPU Support"
diff --git a/buzz/locale/pl_PL/LC_MESSAGES/buzz.po b/buzz/locale/pl_PL/LC_MESSAGES/buzz.po
index e97bff9746..c139615d31 100644
--- a/buzz/locale/pl_PL/LC_MESSAGES/buzz.po
+++ b/buzz/locale/pl_PL/LC_MESSAGES/buzz.po
@@ -788,12 +788,12 @@ msgid ""
 "significantly faster using CUDA. For other GPU brands this acceleration will "
 "have no effect\n"
 "\n"
-"This will download and install PyTorch with CUDA support (~2 GB). Buzz must "
+"This will download and install PyTorch with CUDA support (~8 GB). Buzz must "
 "be restarted after installation."
 msgstr ""
 "Instalacja akceleracji GPU dla kart Nvidia pozwala Buzz znacznie szybciej transkrybować dźwięk przy użyciu CUDA. Dla innych marek GPU ta akceleracja nie będzie miała żadnego efektu.\n"
 "\n"
-"Spowoduje to pobranie i zainstalowanie PyTorch z obsługą CUDA (~2 GB). Po instalacji Buzz musi zostać ponownie uruchomiony."
+"Spowoduje to pobranie i zainstalowanie PyTorch z obsługą CUDA (~8 GB). Po instalacji Buzz musi zostać ponownie uruchomiony."
 
 #: buzz/widgets/cuda_installer_widget.py
 msgid "Install GPU Support"
diff --git a/buzz/locale/pt_BR/LC_MESSAGES/buzz.po b/buzz/locale/pt_BR/LC_MESSAGES/buzz.po
index c25f60694d..1a6a4f89f5 100644
--- a/buzz/locale/pt_BR/LC_MESSAGES/buzz.po
+++ b/buzz/locale/pt_BR/LC_MESSAGES/buzz.po
@@ -789,12 +789,12 @@ msgid ""
 "significantly faster using CUDA. For other GPU brands this acceleration will "
 "have no effect\n"
 "\n"
-"This will download and install PyTorch with CUDA support (~2 GB). Buzz must "
+"This will download and install PyTorch with CUDA support (~8 GB). Buzz must "
 "be restarted after installation."
 msgstr ""
 "Instalar a aceleração GPU para GPUs Nvidia permite ao Buzz transcrever áudio significativamente mais rápido usando CUDA. Para outras marcas de GPU, essa aceleração não terá efeito.\n"
 "\n"
-"Isso irá baixar e instalar o PyTorch com suporte a CUDA (~2 GB). O Buzz deve ser reiniciado após a instalação."
+"Isso irá baixar e instalar o PyTorch com suporte a CUDA (~8 GB). O Buzz deve ser reiniciado após a instalação."
 
 #: buzz/widgets/cuda_installer_widget.py
 msgid "Install GPU Support"
diff --git a/buzz/locale/uk_UA/LC_MESSAGES/buzz.po b/buzz/locale/uk_UA/LC_MESSAGES/buzz.po
index 479fc193c4..4e2d309180 100644
--- a/buzz/locale/uk_UA/LC_MESSAGES/buzz.po
+++ b/buzz/locale/uk_UA/LC_MESSAGES/buzz.po
@@ -786,7 +786,7 @@ msgid ""
 "significantly faster using CUDA. For other GPU brands this acceleration will "
 "have no effect\n"
 "\n"
-"This will download and install PyTorch with CUDA support (~2 GB). Buzz must "
+"This will download and install PyTorch with CUDA support (~8 GB). Buzz must "
 "be restarted after installation."
 msgstr ""
 "Встановлення апаратного прискорення GPU для відеокарт Nvidia дозволяє Buzz значно швидше транскрибувати аудіо за допомогою CUDA. Для відеокарт інших виробників це прискорення не матиме жодного ефекту.\n"
diff --git a/buzz/locale/zh_CN/LC_MESSAGES/buzz.po b/buzz/locale/zh_CN/LC_MESSAGES/buzz.po
index 7185081d51..6e54829e60 100644
--- a/buzz/locale/zh_CN/LC_MESSAGES/buzz.po
+++ b/buzz/locale/zh_CN/LC_MESSAGES/buzz.po
@@ -770,7 +770,7 @@ msgid ""
 "significantly faster using CUDA. For other GPU brands this acceleration will "
 "have no effect\n"
 "\n"
-"This will download and install PyTorch with CUDA support (~2 GB). Buzz must "
+"This will download and install PyTorch with CUDA support (~8 GB). Buzz must "
 "be restarted after installation."
 msgstr ""
 "为 Nvidia GPU 安装 GPU 加速后，Buzz 可以使用 CUDA 显著加快音频转录速度。对于其他品牌的 GPU，此加速将不起作用。\n"
diff --git a/buzz/locale/zh_TW/LC_MESSAGES/buzz.po b/buzz/locale/zh_TW/LC_MESSAGES/buzz.po
index d2863ec304..5bf49f0862 100644
--- a/buzz/locale/zh_TW/LC_MESSAGES/buzz.po
+++ b/buzz/locale/zh_TW/LC_MESSAGES/buzz.po
@@ -771,7 +771,7 @@ msgid ""
 "significantly faster using CUDA. For other GPU brands this acceleration will "
 "have no effect\n"
 "\n"
-"This will download and install PyTorch with CUDA support (~2 GB). Buzz must "
+"This will download and install PyTorch with CUDA support (~8 GB). Buzz must "
 "be restarted after installation."
 msgstr ""
 "為 Nvidia GPU 安裝 GPU 加速後，Buzz 可以使用 CUDA 大幅提升音訊轉錄速度。對於其他品牌的 GPU，此加速將不起作用。\n"
diff --git a/buzz/widgets/cuda_installer_widget.py b/buzz/widgets/cuda_installer_widget.py
index a4ecb6463a..f60457f9e4 100644
--- a/buzz/widgets/cuda_installer_widget.py
+++ b/buzz/widgets/cuda_installer_widget.py
@@ -68,7 +68,7 @@ def __init__(self, parent: Optional[QWidget] = None):
                 "Installing GPU acceleration for Nvidia GPUS allows Buzz "
                 "to transcribe audio significantly faster using CUDA. "
                 "For other GPU brands this acceleration will have no effect\n\n"
-                "This will download and install PyTorch with CUDA support (~2 GB). "
+                "This will download and install PyTorch with CUDA support (~8 GB). "
                 "Buzz must be restarted after installation."
             )
         )

From c50d3ce84a0ec1f258cb23f219a7a9290554d0d0 Mon Sep 17 00:00:00 2001
From: Raivis Dejus <orvils@gmail.com>
Date: Sun, 29 Mar 2026 14:21:35 +0300
Subject: [PATCH 12/35] Rearranging whisper types

---
 buzz/model_loader.py | 10 +++++++++-
 1 file changed, 9 insertions(+), 1 deletion(-)

diff --git a/buzz/model_loader.py b/buzz/model_loader.py
index 4c238bd943..a82907d4f2 100644
--- a/buzz/model_loader.py
+++ b/buzz/model_loader.py
@@ -176,12 +176,20 @@ def get_expected_whisper_model_size(size: WhisperModelSize) -> Optional[int]:
     return WHISPER_MODEL_SIZES.get(size, None)
 
 class ModelType(enum.Enum):
-    WHISPER = "Whisper"
     WHISPER_CPP = "Whisper.cpp"
     HUGGING_FACE = "Hugging Face"
     FASTER_WHISPER = "Faster Whisper"
+    WHISPER = "OpenAI Whisper"
     OPEN_AI_WHISPER_API = "OpenAI Whisper API"
 
+    @classmethod
+    def _missing_(cls, value):
+        # Migrate old stored values to new display names
+        legacy_map = {
+            "Whisper": cls.WHISPER,
+        }
+        return legacy_map.get(value)
+
     @property
     def supports_initial_prompt(self):
         return self in (

From 145e9b60c6aad253177b0ec5dcea51017c2cbf43 Mon Sep 17 00:00:00 2001
From: Raivis Dejus <orvils@gmail.com>
Date: Sun, 29 Mar 2026 14:47:29 +0300
Subject: [PATCH 13/35] Test fixes

---
 buzz/model_loader.py                               | 2 +-
 tests/model_loader_test.py                         | 2 +-
 tests/transcriber/whisper_file_transcriber_test.py | 4 ++--
 tests/widgets/model_type_combo_box_test.py         | 4 ++--
 uv.lock                                            | 6 +++---
 5 files changed, 9 insertions(+), 9 deletions(-)

diff --git a/buzz/model_loader.py b/buzz/model_loader.py
index a82907d4f2..69781bc43c 100644
--- a/buzz/model_loader.py
+++ b/buzz/model_loader.py
@@ -442,7 +442,7 @@ def __init__(
     def __str__(self):
         match self.model_type:
             case ModelType.WHISPER:
-                return f"Whisper ({self.whisper_model_size})"
+                return f"OpenAI Whisper ({self.whisper_model_size})"
             case ModelType.WHISPER_CPP:
                 return f"Whisper.cpp ({self.whisper_model_size})"
             case ModelType.HUGGING_FACE:
diff --git a/tests/model_loader_test.py b/tests/model_loader_test.py
index ab7a09a248..910c8d6ccb 100644
--- a/tests/model_loader_test.py
+++ b/tests/model_loader_test.py
@@ -206,7 +206,7 @@ def test_str_whisper(self):
         model = TranscriptionModel(
             model_type=ModelType.WHISPER, whisper_model_size=WhisperModelSize.TINY
         )
-        assert str(model) == "Whisper (Tiny)"
+        assert str(model) == "OpenAI Whisper (Tiny)"
 
     def test_str_whisper_cpp(self):
         model = TranscriptionModel(
diff --git a/tests/transcriber/whisper_file_transcriber_test.py b/tests/transcriber/whisper_file_transcriber_test.py
index a76f6bbeee..b31bca58a4 100644
--- a/tests/transcriber/whisper_file_transcriber_test.py
+++ b/tests/transcriber/whisper_file_transcriber_test.py
@@ -167,13 +167,13 @@ class TestWhisperFileTranscriber:
             pytest.param(
                 "/a/b/c.mp4",
                 OutputFormat.SRT,
-                "/a/b/c-translate--Whisper-tiny.srt",
+                "/a/b/c-translate--OpenAI Whisper-tiny.srt",
                 marks=pytest.mark.skipif(platform.system() == "Windows", reason=""),
             ),
             pytest.param(
                 "C:\\a\\b\\c.mp4",
                 OutputFormat.SRT,
-                "C:\\a\\b\\c-translate--Whisper-tiny.srt",
+                "C:\\a\\b\\c-translate--OpenAI Whisper-tiny.srt",
                 marks=pytest.mark.skipif(platform.system() != "Windows", reason=""),
             ),
         ],
diff --git a/tests/widgets/model_type_combo_box_test.py b/tests/widgets/model_type_combo_box_test.py
index 39babb63eb..121a6e432f 100644
--- a/tests/widgets/model_type_combo_box_test.py
+++ b/tests/widgets/model_type_combo_box_test.py
@@ -11,16 +11,16 @@ class TestModelTypeComboBox:
         [
             pytest.param(
                 [
-                    "Whisper",
                     "Whisper.cpp",
                     "Hugging Face",
                     "Faster Whisper",
+                    "OpenAI Whisper",
                     "OpenAI Whisper API",
                     # Faster Whisper is not available on macOS x86_64
                 ] if not (platform.system() == "Darwin" and platform.machine() == "x86_64") else [
-                    "Whisper",
                     "Whisper.cpp",
                     "Hugging Face",
+                    "OpenAI Whisper",
                     "OpenAI Whisper API",
                 ],
             ),
diff --git a/uv.lock b/uv.lock
index 8ba8a4d3b3..181009afd9 100644
--- a/uv.lock
+++ b/uv.lock
@@ -4417,9 +4417,9 @@ wheels = [
 
 [[package]]
 name = "yt-dlp"
-version = "2026.3.3"
+version = "2026.3.17"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/66/6f/7427d23609353e5ef3470ff43ef551b8bd7b166dd4fef48957f0d0e040fe/yt_dlp-2026.3.3.tar.gz", hash = "sha256:3db7969e3a8964dc786bdebcffa2653f31123bf2a630f04a17bdafb7bbd39952", size = 3118658, upload-time = "2026-03-03T16:54:53.909Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/8b/34/7c6b4e3f89cb6416d2cd7ab6dab141a1df97ab0fb22d15816db2c92148c9/yt_dlp-2026.3.17.tar.gz", hash = "sha256:ba7aa31d533f1ffccfe70e421596d7ca8ff0bf1398dc6bb658b7d9dec057d2c9", size = 3119221, upload-time = "2026-03-17T23:43:00.244Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/7e/a4/8b5cd28ab87aef48ef15e74241befec3445496327db028f34147a9e0f14f/yt_dlp-2026.3.3-py3-none-any.whl", hash = "sha256:166c6e68c49ba526474bd400e0129f58aa522c2896204aa73be669c3d2f15e63", size = 3315599, upload-time = "2026-03-03T16:54:51.899Z" },
+    { url = "https://files.pythonhosted.org/packages/cd/13/5093bcb954878e50f7217fd2ab94282b53934022e4e4a03265582da83bf5/yt_dlp-2026.3.17-py3-none-any.whl", hash = "sha256:32992db94303a8a5d211a183f2174834fe7f8c29d83ed2e7a324eae97a8f26d8", size = 3315134, upload-time = "2026-03-17T23:42:57.863Z" },
 ]

From 9376dad2f34159f59460e2fbf1942d39690949bd Mon Sep 17 00:00:00 2001
From: Raivis Dejus <orvils@gmail.com>
Date: Sun, 29 Mar 2026 16:27:41 +0300
Subject: [PATCH 14/35] Test fixes

---
 buzz/widgets/recording_transcriber_widget.py  | 24 +++++++++++--
 .../transcriber/recording_transcriber_test.py |  3 +-
 tests/widgets/conftest.py                     | 35 +++++++++++++++++--
 3 files changed, 56 insertions(+), 6 deletions(-)

diff --git a/buzz/widgets/recording_transcriber_widget.py b/buzz/widgets/recording_transcriber_widget.py
index 8e83fb32e4..1cb0e23f1f 100644
--- a/buzz/widgets/recording_transcriber_widget.py
+++ b/buzz/widgets/recording_transcriber_widget.py
@@ -676,7 +676,7 @@ def on_model_loaded(self, model_path: str):
 
         self.transcription_thread.started.connect(self.transcriber.start)
         self.transcription_thread.finished.connect(
-            self.transcription_thread.deleteLater
+            self._on_transcription_thread_finished
         )
         self.transcription_thread.finished.connect(
             lambda: setattr(self, 'transcription_thread', None)
@@ -1195,8 +1195,28 @@ def closeEvent(self, event: QCloseEvent) -> None:
         self._do_close()
         super().closeEvent(event)
 
-    def _on_close_transcriber_finished(self):
+    def _cleanup_transcription_thread(self):
+        """Wait for the OS thread to exit, schedule deletion, and clear the reference.
+
+        QThread::finished is emitted before the OS thread fully exits, so we
+        must call thread.wait() before dropping the last reference or calling
+        deleteLater() — otherwise Qt destroys the C++ object while the thread
+        is still in its final cleanup steps.
+        """
+        thread = self.transcription_thread
         self.transcription_thread = None
+        if thread is not None:
+            try:
+                thread.wait()
+                thread.deleteLater()
+            except RuntimeError:
+                pass
+
+    def _on_transcription_thread_finished(self):
+        self._cleanup_transcription_thread()
+
+    def _on_close_transcriber_finished(self):
+        self._cleanup_transcription_thread()
         self.close()
 
     def _do_close(self):
diff --git a/tests/transcriber/recording_transcriber_test.py b/tests/transcriber/recording_transcriber_test.py
index 3ceef3cc87..6a118f43aa 100644
--- a/tests/transcriber/recording_transcriber_test.py
+++ b/tests/transcriber/recording_transcriber_test.py
@@ -414,6 +414,7 @@ def test_start_local_whisper_server_creates_openai_client(self):
             # Mock a successful process
             mock_process = MagicMock()
             mock_process.poll.return_value = None  # Process is running
+            mock_process.stderr = iter([])
             mock_popen.return_value = mock_process
 
             transcriber = RecordingTranscriber(
@@ -522,7 +523,7 @@ def test_start_local_whisper_server_handles_failure(self):
             # Mock a failed process
             mock_process = MagicMock()
             mock_process.poll.return_value = 1  # Process terminated with error
-            mock_process.stderr.read.return_value = b"Error loading model"
+            mock_process.stderr = iter([b"Error loading model"])
             mock_popen.return_value = mock_process
 
             transcriber = RecordingTranscriber(
diff --git a/tests/widgets/conftest.py b/tests/widgets/conftest.py
index 67b1ec05b7..88a1cb4e4d 100644
--- a/tests/widgets/conftest.py
+++ b/tests/widgets/conftest.py
@@ -1,20 +1,49 @@
-import gc
 import logging
 import pytest
-from unittest.mock import patch
+from unittest.mock import patch, MagicMock
 from buzz.settings.settings import Settings
 
 
+@pytest.fixture(autouse=True)
+def mock_amplitude_listener_stream():
+    # RecordingAmplitudeListener creates a real sounddevice.InputStream that
+    # fires C-level callbacks from a background thread. If the Qt object is
+    # deleted (via deleteLater + processEvents) while the C thread is still
+    # active it causes a segfault or "Exception ignored from cffi callback"
+    # that contaminates later tests.  Patch it out so no real audio hardware
+    # stream is created during widget tests.
+    mock_stream = MagicMock()
+    mock_stream.samplerate = 16000
+    with patch("buzz.recording.sounddevice.InputStream", return_value=mock_stream):
+        yield
+
+
 @pytest.fixture(autouse=True)
 def mock_get_password():
     with patch("buzz.widgets.recording_transcriber_widget.get_password", return_value=None):
         yield
 
 
+@pytest.fixture(autouse=True)
+def mock_message_box():
+    # Prevent QMessageBox dialogs from blocking tests (e.g. when a background
+    # transcription thread emits an error after the test has already "passed")
+    with patch("buzz.widgets.recording_transcriber_widget.QMessageBox"):
+        yield
+
+
 @pytest.fixture(autouse=True)
 def force_gc_between_tests():
     yield
-    gc.collect()
+    from PyQt6.QtCore import QCoreApplication
+    # Flush pending deleteLater() and queued cross-thread signals.
+    # We intentionally do NOT call gc.collect() here: PyQt6 signal/slot
+    # infrastructure can leave Python tuples with corrupted type pointers in
+    # CPython's cyclic-GC tracking list, causing a PyTuple_GET_SIZE assertion
+    # failure inside gc.collect(). Python's reference-counting handles
+    # non-cyclic objects; PyQt6's own lifecycle management handles Qt cycles.
+    for _ in range(3):
+        QCoreApplication.processEvents()
 
 
 @pytest.fixture(scope="package")

From 6de9e606da929cee3e0d91fa061ea01b6900539e Mon Sep 17 00:00:00 2001
From: Raivis Dejus <orvils@gmail.com>
Date: Sun, 29 Mar 2026 16:54:54 +0300
Subject: [PATCH 15/35] Adding more tests

---
 buzz/widgets/icon_presentation.py           |  60 ----
 tests/cuda_manager_test.py                  | 316 ++++++++++++++++++++
 tests/cuda_setup_test.py                    | 238 +++++++++++++++
 tests/widgets/audio_meter_widget_test.py    |  27 ++
 tests/widgets/cuda_installer_widget_test.py | 145 +++++++++
 5 files changed, 726 insertions(+), 60 deletions(-)
 delete mode 100644 buzz/widgets/icon_presentation.py
 create mode 100644 tests/cuda_manager_test.py
 create mode 100644 tests/cuda_setup_test.py
 create mode 100644 tests/widgets/cuda_installer_widget_test.py

diff --git a/buzz/widgets/icon_presentation.py b/buzz/widgets/icon_presentation.py
deleted file mode 100644
index 6f230971b2..0000000000
--- a/buzz/widgets/icon_presentation.py
+++ /dev/null
@@ -1,60 +0,0 @@
-from PyQt6.QtGui import QIcon, QPixmap, QPainter, QPalette
-from PyQt6.QtCore import QSize
-from PyQt6.QtSvg import QSvgRenderer
-import os
-from buzz.assets import APP_BASE_DIR
-
-class PresentationIcon:
-    "Icons for presentation window controls"
-    def __init__(self, parent, svg_path: str, color: str = None):
-        self.parent = parent
-        self.svg_path = svg_path
-        self.color = color or self.get_default_color()
-
-
-    def get_default_color(self) -> str:
-        """Get default icon color based on theme"""
-        palette = self.parent.palette()
-        is_dark = palette.window().color().black() > 127
-
-        return "#EEE" if is_dark else "#555"
-
-    def get_icon(self) -> QIcon:
-        """Load SVG icon and return as QIcon"""
-        #Load from asset first
-        full_path = os.path.join(APP_BASE_DIR, "assets", "icons", os.path.basename(self.svg_path))
-
-        if not os.path.exists(full_path):
-            pixmap = QPixmap(24, 24)
-            pixmap.fill(self.color)
-
-            return QIcon(pixmap)
-
-        #Load SVG
-        renderer = QSvgRenderer(full_path)
-        pixmap = QPixmap(24, 24)
-        pixmap.fill(Qt.GlobalColor.transparent)
-        painter = QPainter(pixmap)
-        renderer.render(painter)
-        painter.end()
-
-        return QIcon(pixmap)
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
diff --git a/tests/cuda_manager_test.py b/tests/cuda_manager_test.py
new file mode 100644
index 0000000000..deb596f488
--- /dev/null
+++ b/tests/cuda_manager_test.py
@@ -0,0 +1,316 @@
+import subprocess
+import sys
+from pathlib import Path
+from unittest.mock import MagicMock, patch, call
+
+import pytest
+
+from buzz.cuda_manager import (
+    CUDA_INDEX_URL,
+    CUDA_NVIDIA_PACKAGES_LINUX,
+    is_cuda_torch_installed,
+    is_flatpak,
+    is_nvidia_gpu_present,
+    is_snap,
+    should_offer_cuda_prompt,
+    _get_install_target,
+    _get_pip_cmd,
+    _in_virtualenv,
+    _pip_install,
+    _subprocess_hide_window_kwargs,
+    install_cuda,
+)
+
+
+class TestIsSnap:
+    def test_returns_true_when_snap_env_set(self, monkeypatch):
+        monkeypatch.setenv("SNAP", "/snap/buzz/current")
+        assert is_snap() is True
+
+    def test_returns_false_when_snap_env_not_set(self, monkeypatch):
+        monkeypatch.delenv("SNAP", raising=False)
+        assert is_snap() is False
+
+
+class TestIsFlatpak:
+    def test_returns_true_when_flatpak_env_set(self, monkeypatch):
+        monkeypatch.setenv("FLATPAK_ID", "io.github.chidiwilliams.buzz")
+        assert is_flatpak() is True
+
+    def test_returns_false_when_flatpak_env_not_set(self, monkeypatch):
+        monkeypatch.delenv("FLATPAK_ID", raising=False)
+        assert is_flatpak() is False
+
+
+class TestShouldOfferCudaPrompt:
+    def test_returns_true_on_windows(self, monkeypatch):
+        monkeypatch.setattr(sys, "platform", "win32")
+        assert should_offer_cuda_prompt() is True
+
+    def test_returns_true_on_linux_snap(self, monkeypatch):
+        monkeypatch.setattr(sys, "platform", "linux")
+        monkeypatch.setenv("SNAP", "/snap/buzz/current")
+        monkeypatch.delenv("FLATPAK_ID", raising=False)
+        assert should_offer_cuda_prompt() is True
+
+    def test_returns_true_on_linux_flatpak(self, monkeypatch):
+        monkeypatch.setattr(sys, "platform", "linux")
+        monkeypatch.delenv("SNAP", raising=False)
+        monkeypatch.setenv("FLATPAK_ID", "io.github.chidiwilliams.buzz")
+        assert should_offer_cuda_prompt() is True
+
+    def test_returns_false_on_linux_bare(self, monkeypatch):
+        monkeypatch.setattr(sys, "platform", "linux")
+        monkeypatch.delenv("SNAP", raising=False)
+        monkeypatch.delenv("FLATPAK_ID", raising=False)
+        assert should_offer_cuda_prompt() is False
+
+    def test_returns_false_on_macos(self, monkeypatch):
+        monkeypatch.setattr(sys, "platform", "darwin")
+        assert should_offer_cuda_prompt() is False
+
+
+class TestIsCudaTorchInstalled:
+    def test_returns_true_when_cuda_available(self):
+        mock_torch = MagicMock()
+        mock_torch.cuda.is_available.return_value = True
+        mock_torch.__version__ = "2.0.0+cu118"
+        mock_torch.version.cuda = "11.8"
+        with patch.dict("sys.modules", {"torch": mock_torch}):
+            assert is_cuda_torch_installed() is True
+
+    def test_returns_false_when_cuda_not_available(self):
+        mock_torch = MagicMock()
+        mock_torch.cuda.is_available.return_value = False
+        mock_torch.__version__ = "2.0.0"
+        mock_torch.version.cuda = None
+        with patch.dict("sys.modules", {"torch": mock_torch}):
+            assert is_cuda_torch_installed() is False
+
+    def test_returns_false_when_torch_not_installed(self):
+        with patch.dict("sys.modules", {"torch": None}):
+            with patch("builtins.__import__", side_effect=ImportError):
+                assert is_cuda_torch_installed() is False
+
+    def test_logs_warning_when_cuda_compiled_but_unavailable(self):
+        mock_torch = MagicMock()
+        mock_torch.cuda.is_available.return_value = False
+        mock_torch.__version__ = "2.0.0+cu118"
+        mock_torch.version.cuda = "11.8"
+        with patch.dict("sys.modules", {"torch": mock_torch}):
+            with patch("buzz.cuda_manager.logger") as mock_logger:
+                is_cuda_torch_installed()
+                mock_logger.warning.assert_called_once()
+
+
+class TestIsNvidiaGpuPresent:
+    def test_returns_true_when_nvidia_smi_succeeds(self):
+        with patch("subprocess.run") as mock_run:
+            mock_run.return_value = MagicMock(returncode=0)
+            assert is_nvidia_gpu_present() is True
+
+    def test_falls_back_to_proc_file_when_nvidia_smi_missing(self, tmp_path):
+        with patch("subprocess.run", side_effect=FileNotFoundError):
+            with patch("buzz.cuda_manager.Path") as mock_path_cls:
+                mock_path_cls.return_value.exists.return_value = True
+                assert is_nvidia_gpu_present() is True
+
+    def test_returns_false_when_nvidia_smi_fails_and_no_proc_file(self):
+        with patch("subprocess.run") as mock_run:
+            mock_run.return_value = MagicMock(returncode=1)
+            with patch("pathlib.Path.exists", return_value=False):
+                assert is_nvidia_gpu_present() is False
+
+    def test_handles_timeout(self):
+        with patch("subprocess.run", side_effect=subprocess.TimeoutExpired(["nvidia-smi"], 5)):
+            with patch("pathlib.Path.exists", return_value=False):
+                assert is_nvidia_gpu_present() is False
+
+
+class TestInVirtualenv:
+    def test_returns_true_when_virtual_env_set(self, monkeypatch):
+        monkeypatch.setenv("VIRTUAL_ENV", "/some/venv")
+        assert _in_virtualenv() is True
+
+    def test_returns_true_when_prefix_differs(self, monkeypatch):
+        monkeypatch.delenv("VIRTUAL_ENV", raising=False)
+        with patch.object(sys, "prefix", "/some/venv"):
+            with patch.object(sys, "base_prefix", "/usr"):
+                assert _in_virtualenv() is True
+
+    def test_returns_false_when_no_venv(self, monkeypatch):
+        monkeypatch.delenv("VIRTUAL_ENV", raising=False)
+        with patch.object(sys, "prefix", sys.base_prefix):
+            assert _in_virtualenv() is False
+
+
+class TestGetInstallTarget:
+    def test_snap_uses_snap_user_data(self, monkeypatch, tmp_path):
+        snap_dir = tmp_path / "snap_data"
+        monkeypatch.setenv("SNAP", "/snap/buzz/current")
+        monkeypatch.setenv("SNAP_USER_DATA", str(snap_dir))
+        monkeypatch.delenv("FLATPAK_ID", raising=False)
+        flags = _get_install_target()
+        assert flags[0] == "--target"
+        assert "cuda_packages" in flags[1]
+        assert str(snap_dir) in flags[1]
+
+    def test_snap_falls_back_to_home_when_no_snap_user_data(self, monkeypatch):
+        monkeypatch.setenv("SNAP", "/snap/buzz/current")
+        monkeypatch.delenv("SNAP_USER_DATA", raising=False)
+        monkeypatch.delenv("FLATPAK_ID", raising=False)
+        with patch("pathlib.Path.mkdir"):
+            flags = _get_install_target()
+        assert flags[0] == "--target"
+        assert "cuda_packages" in flags[1]
+
+    def test_flatpak_uses_xdg_data_home(self, monkeypatch, tmp_path):
+        monkeypatch.delenv("SNAP", raising=False)
+        monkeypatch.setenv("FLATPAK_ID", "io.github.chidiwilliams.buzz")
+        monkeypatch.setenv("XDG_DATA_HOME", str(tmp_path))
+        with patch("pathlib.Path.mkdir"):
+            flags = _get_install_target()
+        assert flags[0] == "--target"
+        assert "buzz" in flags[1]
+        assert "cuda_packages" in flags[1]
+
+    def test_virtualenv_returns_empty(self, monkeypatch):
+        monkeypatch.delenv("SNAP", raising=False)
+        monkeypatch.delenv("FLATPAK_ID", raising=False)
+        monkeypatch.setenv("VIRTUAL_ENV", "/some/venv")
+        assert _get_install_target() == []
+
+    def test_bare_returns_user_flag(self, monkeypatch):
+        monkeypatch.delenv("SNAP", raising=False)
+        monkeypatch.delenv("FLATPAK_ID", raising=False)
+        monkeypatch.delenv("VIRTUAL_ENV", raising=False)
+        with patch.object(sys, "prefix", sys.base_prefix):
+            assert _get_install_target() == ["--user"]
+
+
+class TestSubprocessHideWindowKwargs:
+    def test_returns_empty_on_linux(self, monkeypatch):
+        monkeypatch.setattr(sys, "platform", "linux")
+        assert _subprocess_hide_window_kwargs() == {}
+
+    def test_returns_startupinfo_on_windows(self, monkeypatch):
+        monkeypatch.setattr(sys, "platform", "win32")
+        # Only run on actual windows, otherwise mock the STARTUPINFO
+        if sys.platform != "win32":
+            mock_si = MagicMock()
+            with patch("subprocess.STARTUPINFO", return_value=mock_si):
+                with patch("subprocess.STARTF_USESHOWWINDOW", 1):
+                    with patch("subprocess.SW_HIDE", 0):
+                        with patch("subprocess.CREATE_NO_WINDOW", 0x08000000):
+                            result = _subprocess_hide_window_kwargs()
+            assert "startupinfo" in result
+            assert "creationflags" in result
+
+
+class TestGetPipCmd:
+    def test_returns_sys_executable_when_pip_available(self):
+        with patch("subprocess.run") as mock_run:
+            mock_run.return_value = MagicMock(returncode=0)
+            cmd = _get_pip_cmd()
+            assert cmd == [sys.executable, "-m", "pip"]
+
+    def test_bootstraps_pip_when_not_available(self):
+        responses = [
+            MagicMock(returncode=1),  # pip --version fails
+            MagicMock(returncode=0),  # ensurepip succeeds
+        ]
+        with patch("subprocess.run", side_effect=responses):
+            cmd = _get_pip_cmd()
+            assert cmd == [sys.executable, "-m", "pip"]
+
+    def test_raises_when_ensurepip_also_fails(self):
+        responses = [
+            MagicMock(returncode=1),  # pip --version fails
+            MagicMock(returncode=1),  # ensurepip fails
+        ]
+        with patch("subprocess.run", side_effect=responses):
+            with pytest.raises(RuntimeError, match="pip is not available"):
+                _get_pip_cmd()
+
+
+class TestPipInstall:
+    def test_calls_pip_with_packages(self):
+        mock_proc = MagicMock()
+        mock_proc.stdout = iter(["Collecting torch\n", "Successfully installed\n"])
+        mock_proc.returncode = 0
+        mock_proc.wait.return_value = None
+
+        with patch("buzz.cuda_manager._get_pip_cmd", return_value=[sys.executable, "-m", "pip"]):
+            with patch("subprocess.Popen", return_value=mock_proc) as mock_popen:
+                _pip_install(["torch==2.0.0"], extra_args=["--index-url", "https://example.com"])
+
+        cmd = mock_popen.call_args[0][0]
+        assert "torch==2.0.0" in cmd
+        assert "--index-url" in cmd
+
+    def test_raises_on_nonzero_exit(self):
+        mock_proc = MagicMock()
+        mock_proc.stdout = iter([])
+        mock_proc.returncode = 1
+        mock_proc.wait.return_value = None
+
+        with patch("buzz.cuda_manager._get_pip_cmd", return_value=[sys.executable, "-m", "pip"]):
+            with patch("subprocess.Popen", return_value=mock_proc):
+                with pytest.raises(RuntimeError, match="pip install failed"):
+                    _pip_install(["torch==2.0.0"])
+
+    def test_calls_progress_callback(self):
+        mock_proc = MagicMock()
+        mock_proc.stdout = iter(["line1\n", "line2\n"])
+        mock_proc.returncode = 0
+        mock_proc.wait.return_value = None
+
+        calls = []
+        with patch("buzz.cuda_manager._get_pip_cmd", return_value=[sys.executable, "-m", "pip"]):
+            with patch("subprocess.Popen", return_value=mock_proc):
+                _pip_install(["pkg"], progress_callback=calls.append)
+
+        assert "line1" in calls
+        assert "line2" in calls
+
+
+class TestInstallCuda:
+    def test_calls_pip_install_twice(self, monkeypatch):
+        monkeypatch.delenv("SNAP", raising=False)
+        monkeypatch.delenv("FLATPAK_ID", raising=False)
+        monkeypatch.setenv("VIRTUAL_ENV", "/some/venv")
+
+        with patch("buzz.cuda_manager._pip_install") as mock_pip:
+            install_cuda()
+
+        assert mock_pip.call_count == 2
+
+    def test_passes_progress_callback(self, monkeypatch):
+        monkeypatch.delenv("SNAP", raising=False)
+        monkeypatch.delenv("FLATPAK_ID", raising=False)
+        monkeypatch.setenv("VIRTUAL_ENV", "/some/venv")
+
+        messages = []
+        with patch("buzz.cuda_manager._pip_install"):
+            install_cuda(progress_callback=messages.append)
+
+        assert any("NVIDIA" in m for m in messages)
+        assert any("PyTorch" in m for m in messages)
+
+    def test_linux_excludes_linux_only_packages_on_windows(self, monkeypatch):
+        monkeypatch.setattr(sys, "platform", "win32")
+        monkeypatch.delenv("SNAP", raising=False)
+        monkeypatch.delenv("FLATPAK_ID", raising=False)
+
+        captured = []
+
+        def fake_pip(packages, **kwargs):
+            captured.append(packages)
+
+        with patch("buzz.cuda_manager._pip_install", side_effect=fake_pip):
+            with patch("buzz.cuda_manager._get_install_target", return_value=[]):
+                install_cuda()
+
+        nvidia_pkgs = captured[0]
+        for pkg in CUDA_NVIDIA_PACKAGES_LINUX:
+            assert pkg not in nvidia_pkgs
diff --git a/tests/cuda_setup_test.py b/tests/cuda_setup_test.py
new file mode 100644
index 0000000000..11193c8ed3
--- /dev/null
+++ b/tests/cuda_setup_test.py
@@ -0,0 +1,238 @@
+import sys
+from pathlib import Path
+from unittest.mock import MagicMock, patch
+
+import pytest
+
+
+class TestGetCudaTargetDir:
+    def test_returns_snap_path(self, monkeypatch, tmp_path):
+        monkeypatch.setenv("SNAP_USER_DATA", str(tmp_path))
+        monkeypatch.delenv("FLATPAK_ID", raising=False)
+        from buzz.cuda_setup import _get_cuda_target_dir
+        result = _get_cuda_target_dir()
+        assert result == tmp_path / "cuda_packages"
+
+    def test_returns_flatpak_path(self, monkeypatch, tmp_path):
+        monkeypatch.delenv("SNAP_USER_DATA", raising=False)
+        monkeypatch.setenv("FLATPAK_ID", "io.github.chidiwilliams.buzz")
+        monkeypatch.setenv("XDG_DATA_HOME", str(tmp_path))
+        from buzz.cuda_setup import _get_cuda_target_dir
+        result = _get_cuda_target_dir()
+        assert result == tmp_path / "buzz" / "cuda_packages"
+
+    def test_returns_none_when_no_env(self, monkeypatch):
+        monkeypatch.delenv("SNAP_USER_DATA", raising=False)
+        monkeypatch.delenv("FLATPAK_ID", raising=False)
+        from buzz.cuda_setup import _get_cuda_target_dir
+        result = _get_cuda_target_dir()
+        assert result is None
+
+    def test_flatpak_falls_back_to_home(self, monkeypatch):
+        monkeypatch.delenv("SNAP_USER_DATA", raising=False)
+        monkeypatch.setenv("FLATPAK_ID", "io.github.chidiwilliams.buzz")
+        monkeypatch.delenv("XDG_DATA_HOME", raising=False)
+        from buzz.cuda_setup import _get_cuda_target_dir
+        result = _get_cuda_target_dir()
+        assert result is not None
+        assert "cuda_packages" in str(result)
+
+
+class TestGetSitePackagesDirs:
+    def test_adds_cuda_target_to_sys_path(self, monkeypatch, tmp_path):
+        cuda_target = tmp_path / "cuda_packages"
+        cuda_target.mkdir()
+        monkeypatch.setenv("SNAP_USER_DATA", str(tmp_path))
+        monkeypatch.delenv("FLATPAK_ID", raising=False)
+
+        from buzz.cuda_setup import _get_site_packages_dirs
+        dirs = _get_site_packages_dirs()
+
+        assert cuda_target in dirs
+        assert str(cuda_target) in sys.path
+
+    def test_returns_list_including_existing_site_packages(self, monkeypatch):
+        monkeypatch.delenv("SNAP_USER_DATA", raising=False)
+        monkeypatch.delenv("FLATPAK_ID", raising=False)
+
+        from buzz.cuda_setup import _get_site_packages_dirs
+        dirs = _get_site_packages_dirs()
+        assert isinstance(dirs, list)
+
+
+class TestCollectCudaLibDirs:
+    def test_includes_torch_lib(self, tmp_path):
+        torch_lib = tmp_path / "torch" / "lib"
+        torch_lib.mkdir(parents=True)
+
+        from buzz.cuda_setup import _collect_cuda_lib_dirs
+        dirs = _collect_cuda_lib_dirs(tmp_path)
+        assert str(torch_lib) in dirs
+
+    def test_includes_nvidia_package_libs(self, tmp_path):
+        nvidia_cublas = tmp_path / "nvidia" / "cublas" / "lib"
+        nvidia_cublas.mkdir(parents=True)
+
+        from buzz.cuda_setup import _collect_cuda_lib_dirs
+        dirs = _collect_cuda_lib_dirs(tmp_path)
+        assert str(nvidia_cublas) in dirs
+
+    def test_returns_empty_when_no_dirs_exist(self, tmp_path):
+        from buzz.cuda_setup import _collect_cuda_lib_dirs
+        dirs = _collect_cuda_lib_dirs(tmp_path)
+        assert dirs == []
+
+
+class TestGetNvidiaPackageLibDirs:
+    def test_finds_nvidia_lib_dirs(self, monkeypatch, tmp_path):
+        sp = tmp_path / "site-packages"
+        nvidia_lib = sp / "nvidia" / "cublas" / "lib"
+        nvidia_lib.mkdir(parents=True)
+
+        monkeypatch.delenv("SNAP_USER_DATA", raising=False)
+        monkeypatch.delenv("FLATPAK_ID", raising=False)
+
+        with patch("buzz.cuda_setup._get_site_packages_dirs", return_value=[sp]):
+            from buzz.cuda_setup import _get_nvidia_package_lib_dirs
+            dirs = _get_nvidia_package_lib_dirs()
+
+        assert nvidia_lib in dirs
+
+    def test_finds_torch_lib_dir(self, monkeypatch, tmp_path):
+        sp = tmp_path / "site-packages"
+        torch_lib = sp / "torch" / "lib"
+        torch_lib.mkdir(parents=True)
+
+        monkeypatch.delenv("SNAP_USER_DATA", raising=False)
+        monkeypatch.delenv("FLATPAK_ID", raising=False)
+
+        with patch("buzz.cuda_setup._get_site_packages_dirs", return_value=[sp]):
+            from buzz.cuda_setup import _get_nvidia_package_lib_dirs
+            dirs = _get_nvidia_package_lib_dirs()
+
+        assert torch_lib in dirs
+
+
+class TestSetupLinuxCuda:
+    def test_skips_when_no_cuda_target(self, monkeypatch):
+        monkeypatch.delenv("SNAP_USER_DATA", raising=False)
+        monkeypatch.delenv("FLATPAK_ID", raising=False)
+
+        with patch("buzz.cuda_setup._get_cuda_target_dir", return_value=None):
+            from buzz.cuda_setup import _setup_linux_cuda
+            _setup_linux_cuda()  # should not raise
+
+    def test_skips_when_cuda_target_does_not_exist(self, monkeypatch, tmp_path):
+        nonexistent = tmp_path / "nonexistent"
+        with patch("buzz.cuda_setup._get_cuda_target_dir", return_value=nonexistent):
+            from buzz.cuda_setup import _setup_linux_cuda
+            _setup_linux_cuda()  # should not raise
+
+    def test_skips_when_no_torch_lib(self, monkeypatch, tmp_path):
+        cuda_target = tmp_path / "cuda_packages"
+        cuda_target.mkdir()
+        with patch("buzz.cuda_setup._get_cuda_target_dir", return_value=cuda_target):
+            from buzz.cuda_setup import _setup_linux_cuda
+            _setup_linux_cuda()  # should not raise
+
+    def test_reexecs_when_sentinel_not_in_ld_path(self, monkeypatch, tmp_path):
+        cuda_target = tmp_path / "cuda_packages"
+        torch_lib = cuda_target / "torch" / "lib"
+        torch_lib.mkdir(parents=True)
+
+        monkeypatch.delenv("LD_LIBRARY_PATH", raising=False)
+
+        with patch("buzz.cuda_setup._get_cuda_target_dir", return_value=cuda_target):
+            with patch("buzz.cuda_setup._collect_cuda_lib_dirs", return_value=[str(torch_lib)]):
+                with patch("os.execv", side_effect=OSError("test")) as mock_execv:
+                    with patch("buzz.cuda_setup._preload_linux_libraries_fallback") as mock_fallback:
+                        from buzz.cuda_setup import _setup_linux_cuda
+                        _setup_linux_cuda()
+
+                mock_fallback.assert_called_once()
+
+    def test_no_reexec_when_sentinel_already_in_ld_path(self, monkeypatch, tmp_path):
+        cuda_target = tmp_path / "cuda_packages"
+        torch_lib = cuda_target / "torch" / "lib"
+        torch_lib.mkdir(parents=True)
+
+        monkeypatch.setenv("LD_LIBRARY_PATH", str(torch_lib))
+
+        with patch("buzz.cuda_setup._get_cuda_target_dir", return_value=cuda_target):
+            with patch("os.execv") as mock_execv:
+                from buzz.cuda_setup import _setup_linux_cuda
+                _setup_linux_cuda()
+
+            mock_execv.assert_not_called()
+
+
+class TestSetupWindowsDllDirectories:
+    def test_calls_add_dll_directory(self, tmp_path):
+        lib_dir = tmp_path / "lib"
+        lib_dir.mkdir()
+
+        with patch("buzz.cuda_setup._get_nvidia_package_lib_dirs", return_value=[lib_dir]):
+            with patch("buzz.cuda_setup.os") as mock_os:
+                from buzz.cuda_setup import _setup_windows_dll_directories
+                _setup_windows_dll_directories()
+
+            mock_os.add_dll_directory.assert_called_once_with(str(lib_dir))
+
+    def test_logs_warning_when_no_lib_dirs(self):
+        with patch("buzz.cuda_setup._get_nvidia_package_lib_dirs", return_value=[]):
+            with patch("buzz.cuda_setup.logger") as mock_logger:
+                from buzz.cuda_setup import _setup_windows_dll_directories
+                _setup_windows_dll_directories()
+
+            mock_logger.warning.assert_called_once()
+
+
+class TestSetupCudaLibraries:
+    def test_calls_windows_setup_on_windows(self):
+        with patch("platform.system", return_value="Windows"):
+            with patch("buzz.cuda_setup._setup_windows_dll_directories") as mock_win:
+                from buzz.cuda_setup import setup_cuda_libraries
+                setup_cuda_libraries()
+            mock_win.assert_called_once()
+
+    def test_calls_linux_setup_on_linux(self):
+        with patch("platform.system", return_value="Linux"):
+            with patch("buzz.cuda_setup._setup_linux_cuda") as mock_linux:
+                from buzz.cuda_setup import setup_cuda_libraries
+                setup_cuda_libraries()
+            mock_linux.assert_called_once()
+
+    def test_does_nothing_on_macos(self):
+        with patch("platform.system", return_value="Darwin"):
+            with patch("buzz.cuda_setup._setup_windows_dll_directories") as mock_win:
+                with patch("buzz.cuda_setup._setup_linux_cuda") as mock_linux:
+                    from buzz.cuda_setup import setup_cuda_libraries
+                    setup_cuda_libraries()
+            mock_win.assert_not_called()
+            mock_linux.assert_not_called()
+
+
+class TestPreloadLinuxLibrariesFallback:
+    def test_loads_so_files(self, tmp_path):
+        lib_dir = tmp_path / "lib"
+        lib_dir.mkdir()
+        so_file = lib_dir / "libfoo.so.1"
+        so_file.touch()
+
+        with patch("buzz.cuda_setup._get_nvidia_package_lib_dirs", return_value=[lib_dir]):
+            with patch("ctypes.CDLL") as mock_cdll:
+                from buzz.cuda_setup import _preload_linux_libraries_fallback
+                _preload_linux_libraries_fallback()
+            mock_cdll.assert_called()
+
+    def test_skips_libnvblas(self, tmp_path):
+        lib_dir = tmp_path / "lib"
+        lib_dir.mkdir()
+        skip_file = lib_dir / "libnvblas.so.1"
+        skip_file.touch()
+
+        with patch("buzz.cuda_setup._get_nvidia_package_lib_dirs", return_value=[lib_dir]):
+            with patch("ctypes.CDLL") as mock_cdll:
+                from buzz.cuda_setup import _preload_linux_libraries_fallback
+                _preload_linux_libraries_fallback()
+            mock_cdll.assert_not_called()
diff --git a/tests/widgets/audio_meter_widget_test.py b/tests/widgets/audio_meter_widget_test.py
index d91e5d702e..62f9e142c2 100644
--- a/tests/widgets/audio_meter_widget_test.py
+++ b/tests/widgets/audio_meter_widget_test.py
@@ -54,3 +54,30 @@ def test_fixed_height(self, qtbot: QtBot):
         widget = AudioMeterWidget()
         qtbot.add_widget(widget)
         assert widget.height() == 56
+
+    def test_update_queue_size(self, qtbot: QtBot):
+        widget = AudioMeterWidget()
+        qtbot.add_widget(widget)
+        widget.update_queue_size(5)
+        assert widget.queue_size == 5
+
+    def test_reset_amplitude_clears_queue_size(self, qtbot: QtBot):
+        widget = AudioMeterWidget()
+        qtbot.add_widget(widget)
+        widget.update_queue_size(3)
+        widget.reset_amplitude()
+        assert widget.queue_size == 0
+
+    def test_initial_queue_size_is_zero(self, qtbot: QtBot):
+        widget = AudioMeterWidget()
+        qtbot.add_widget(widget)
+        assert widget.queue_size == 0
+
+    def test_paint_event_does_not_raise(self, qtbot: QtBot):
+        widget = AudioMeterWidget()
+        qtbot.add_widget(widget)
+        widget.show()
+        widget.update_amplitude(0.5)
+        widget.update_average_amplitude(0.1)
+        widget.update_queue_size(2)
+        widget.repaint()  # triggers paintEvent
diff --git a/tests/widgets/cuda_installer_widget_test.py b/tests/widgets/cuda_installer_widget_test.py
new file mode 100644
index 0000000000..e9e22444a2
--- /dev/null
+++ b/tests/widgets/cuda_installer_widget_test.py
@@ -0,0 +1,145 @@
+from unittest.mock import MagicMock, patch
+
+import pytest
+from pytestqt.qtbot import QtBot
+
+from buzz.widgets.cuda_installer_widget import CudaInstallerDialog, _InstallWorker
+
+
+class TestInstallWorker:
+    def test_calls_install_cuda_and_emits_finished(self):
+        worker = _InstallWorker()
+        finished_mock = MagicMock()
+        worker.signals.finished.connect(finished_mock)
+
+        with patch("buzz.cuda_manager.install_cuda") as mock_install:
+            worker.run()
+
+        mock_install.assert_called_once()
+        finished_mock.assert_called_once()
+
+    def test_emits_error_on_exception(self):
+        worker = _InstallWorker()
+        error_mock = MagicMock()
+        worker.signals.error.connect(error_mock)
+
+        with patch("buzz.cuda_manager.install_cuda", side_effect=RuntimeError("fail")):
+            worker.run()
+
+        error_mock.assert_called_once_with("fail")
+
+    def test_passes_progress_callback_to_install(self):
+        worker = _InstallWorker()
+        progress_mock = MagicMock()
+        worker.signals.progress.connect(progress_mock)
+
+        def fake_install(progress_callback=None):
+            if progress_callback:
+                progress_callback("installing...")
+
+        with patch("buzz.cuda_manager.install_cuda", side_effect=fake_install):
+            worker.run()
+
+        progress_mock.assert_called_once_with("installing...")
+
+
+class TestCudaInstallerDialog:
+    def test_dialog_creates_with_correct_title(self, qtbot: QtBot):
+        dialog = CudaInstallerDialog()
+        qtbot.add_widget(dialog)
+        assert "GPU" in dialog.windowTitle() or "Nvidia" in dialog.windowTitle()
+
+    def test_install_button_exists(self, qtbot: QtBot):
+        dialog = CudaInstallerDialog()
+        qtbot.add_widget(dialog)
+        assert dialog.install_button is not None
+        assert dialog.install_button.isEnabled()
+
+    def test_decline_button_exists(self, qtbot: QtBot):
+        dialog = CudaInstallerDialog()
+        qtbot.add_widget(dialog)
+        assert dialog.decline_button is not None
+
+    def test_progress_bar_hidden_initially(self, qtbot: QtBot):
+        dialog = CudaInstallerDialog()
+        qtbot.add_widget(dialog)
+        assert not dialog.progress_bar.isVisible()
+
+    def test_log_view_hidden_initially(self, qtbot: QtBot):
+        dialog = CudaInstallerDialog()
+        qtbot.add_widget(dialog)
+        assert not dialog.log_view.isVisible()
+
+    def test_install_click_shows_progress_bar(self, qtbot: QtBot):
+        dialog = CudaInstallerDialog()
+        qtbot.add_widget(dialog)
+        dialog.show()
+
+        with patch("buzz.widgets.cuda_installer_widget.QThreadPool"):
+            dialog._on_install_clicked()
+
+        assert dialog.progress_bar.isVisible()
+        assert dialog.log_view.isVisible()
+        assert not dialog.install_button.isEnabled()
+        assert not dialog.decline_button.isEnabled()
+
+    def test_on_progress_appends_to_log(self, qtbot: QtBot):
+        dialog = CudaInstallerDialog()
+        qtbot.add_widget(dialog)
+        dialog._on_progress("step 1")
+        assert "step 1" in dialog.log_view.toPlainText()
+
+    def test_on_progress_updates_status_label(self, qtbot: QtBot):
+        dialog = CudaInstallerDialog()
+        qtbot.add_widget(dialog)
+        dialog._on_progress("Installing packages...")
+        assert dialog.status_label.text() != ""
+
+    def test_on_progress_truncates_long_message(self, qtbot: QtBot):
+        dialog = CudaInstallerDialog()
+        qtbot.add_widget(dialog)
+        long_msg = "x" * 200
+        dialog._on_progress(long_msg)
+        assert len(dialog.status_label.text()) <= 80
+
+    def test_on_finished_re_enables_install_button(self, qtbot: QtBot):
+        dialog = CudaInstallerDialog()
+        qtbot.add_widget(dialog)
+        dialog.install_button.setEnabled(False)
+        dialog._on_finished()
+        assert dialog.install_button.isEnabled()
+
+    def test_on_finished_hides_progress_bar(self, qtbot: QtBot):
+        dialog = CudaInstallerDialog()
+        qtbot.add_widget(dialog)
+        dialog.progress_bar.setVisible(True)
+        dialog._on_finished()
+        assert not dialog.progress_bar.isVisible()
+
+    def test_on_finished_shows_completion_message(self, qtbot: QtBot):
+        dialog = CudaInstallerDialog()
+        qtbot.add_widget(dialog)
+        dialog._on_finished()
+        assert "complete" in dialog.status_label.text().lower() or "restart" in dialog.status_label.text().lower()
+
+    def test_on_error_shows_error_message(self, qtbot: QtBot):
+        dialog = CudaInstallerDialog()
+        qtbot.add_widget(dialog)
+        dialog._on_error("something went wrong")
+        assert "something went wrong" in dialog.status_label.text()
+
+    def test_on_error_re_enables_buttons(self, qtbot: QtBot):
+        dialog = CudaInstallerDialog()
+        qtbot.add_widget(dialog)
+        dialog.install_button.setEnabled(False)
+        dialog.decline_button.setEnabled(False)
+        dialog._on_error("fail")
+        assert dialog.install_button.isEnabled()
+        assert dialog.decline_button.isEnabled()
+
+    def test_on_error_hides_progress_bar(self, qtbot: QtBot):
+        dialog = CudaInstallerDialog()
+        qtbot.add_widget(dialog)
+        dialog.progress_bar.setVisible(True)
+        dialog._on_error("fail")
+        assert not dialog.progress_bar.isVisible()

From e558307d7f2a88e17d36c4eb2f39591368fcf31b Mon Sep 17 00:00:00 2001
From: Raivis Dejus <orvils@gmail.com>
Date: Sun, 29 Mar 2026 17:35:54 +0300
Subject: [PATCH 16/35] Adjusting mac dependencies

---
 pyproject.toml |  13 +++---
 uv.lock        | 115 +++++++++++++++++++++++++++++++++++--------------
 2 files changed, 91 insertions(+), 37 deletions(-)

diff --git a/pyproject.toml b/pyproject.toml
index e51c4dd5ea..c34d08b0f5 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -31,10 +31,13 @@ dependencies = [
     "polib>=1.2.0,<2",
     "srt-equalizer>=0.1.10,<0.2",
     "ctranslate2>=4.6.2,<5; sys_platform == 'darwin'",
-    # For Linux/Windows/ARM Mac - use CPU versions from pytorch index
+    # For Linux/Windows - use CPU versions from pytorch index
     "ctranslate2>=4.6.2,<5; sys_platform != 'darwin'",
-    "torch==2.8.0+cpu; sys_platform != 'darwin' or platform_machine != 'x86_64'",
-    "torchaudio==2.8.0+cpu; sys_platform != 'darwin' or platform_machine != 'x86_64'",
+    "torch==2.8.0+cpu; sys_platform != 'darwin'",
+    "torchaudio==2.8.0+cpu; sys_platform != 'darwin'",
+    # For ARM Mac - use regular PyPI torch
+    "torch==2.8.0; sys_platform == 'darwin' and platform_machine == 'arm64'",
+    "torchaudio==2.8.0; sys_platform == 'darwin' and platform_machine == 'arm64'",
     # faster whisper need cudnn 9
     "nvidia-cudnn-cu12>=9,<10; sys_platform != 'darwin'",
     # CUDA runtime libraries are provided by torch dependencies, no need to specify explicitly
@@ -127,10 +130,10 @@ default-groups = [
 
 [tool.uv.sources]
 torch = [
-  { index = "pytorch-cpu", marker = "sys_platform != 'darwin' or platform_machine != 'x86_64'" },
+  { index = "pytorch-cpu", marker = "sys_platform != 'darwin'" },
 ]
 torchaudio = [
-  { index = "pytorch-cpu", marker = "sys_platform != 'darwin' or platform_machine != 'x86_64'" },
+  { index = "pytorch-cpu", marker = "sys_platform != 'darwin'" },
 ]
 [[tool.uv.index]]
 name = "pytorch-cpu"
diff --git a/uv.lock b/uv.lock
index 181009afd9..7c65ce3fa9 100644
--- a/uv.lock
+++ b/uv.lock
@@ -37,7 +37,8 @@ dependencies = [
     { name = "pyyaml" },
     { name = "safetensors" },
     { name = "torch", version = "2.2.2", source = { registry = "https://pypi.org/simple" }, marker = "platform_machine == 'x86_64' and sys_platform == 'darwin'" },
-    { name = "torch", version = "2.8.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "platform_machine != 'x86_64' or sys_platform != 'darwin'" },
+    { name = "torch", version = "2.8.0", source = { registry = "https://pypi.org/simple" }, marker = "platform_machine != 'x86_64' and sys_platform == 'darwin'" },
+    { name = "torch", version = "2.8.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform != 'darwin'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/4a/8e/ac2a9566747a93f8be36ee08532eb0160558b07630a081a6056a9f89bf1d/accelerate-1.12.0.tar.gz", hash = "sha256:70988c352feb481887077d2ab845125024b2a137a5090d6d7a32b57d03a45df6", size = 398399, upload-time = "2025-11-21T11:27:46.973Z" }
 wheels = [
@@ -256,7 +257,7 @@ resolution-markers = [
 dependencies = [
     { name = "numpy", marker = "platform_machine == 'arm64' and sys_platform == 'darwin'" },
     { name = "packaging", marker = "platform_machine == 'arm64' and sys_platform == 'darwin'" },
-    { name = "torch", version = "2.8.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "platform_machine == 'arm64' and sys_platform == 'darwin'" },
+    { name = "torch", version = "2.8.0", source = { registry = "https://pypi.org/simple" }, marker = "platform_machine == 'arm64' and sys_platform == 'darwin'" },
 ]
 wheels = [
     { url = "https://files.pythonhosted.org/packages/8e/96/2b825cb874477a26478df0ce8ce3550abe81af1c7bcbc47871f0619b120c/bitsandbytes-0.49.0-py3-none-macosx_14_0_arm64.whl", hash = "sha256:17d5b57e6d51b78bcfc07da0e93db061181b25bffabfafe101dd9b75c2710872", size = 129838, upload-time = "2025-12-11T20:50:39.645Z" },
@@ -327,9 +328,11 @@ dependencies = [
     { name = "stable-ts" },
     { name = "submitit" },
     { name = "torch", version = "2.2.2", source = { registry = "https://pypi.org/simple" }, marker = "platform_machine == 'x86_64' and sys_platform == 'darwin'" },
-    { name = "torch", version = "2.8.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "platform_machine != 'x86_64' or sys_platform != 'darwin'" },
+    { name = "torch", version = "2.8.0", source = { registry = "https://pypi.org/simple" }, marker = "platform_machine == 'arm64' and sys_platform == 'darwin'" },
+    { name = "torch", version = "2.8.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform != 'darwin'" },
     { name = "torchaudio", version = "2.2.2", source = { registry = "https://pypi.org/simple" }, marker = "platform_machine == 'x86_64' and sys_platform == 'darwin'" },
-    { name = "torchaudio", version = "2.8.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "platform_machine != 'x86_64' or sys_platform != 'darwin'" },
+    { name = "torchaudio", version = "2.8.0", source = { registry = "https://pypi.org/simple" }, marker = "platform_machine == 'arm64' and sys_platform == 'darwin'" },
+    { name = "torchaudio", version = "2.8.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform != 'darwin'" },
     { name = "torchcodec", marker = "platform_machine != 'x86_64' or sys_platform != 'darwin'" },
     { name = "tqdm" },
     { name = "transformers" },
@@ -414,9 +417,11 @@ requires-dist = [
     { name = "srt-equalizer", specifier = ">=0.1.10,<0.2" },
     { name = "stable-ts", specifier = ">=2.19.1,<3" },
     { name = "submitit", specifier = ">=1.5.2,<2" },
-    { name = "torch", marker = "platform_machine != 'x86_64' or sys_platform != 'darwin'", specifier = "==2.8.0+cpu", index = "https://download.pytorch.org/whl/cpu" },
+    { name = "torch", marker = "sys_platform != 'darwin'", specifier = "==2.8.0+cpu", index = "https://download.pytorch.org/whl/cpu" },
+    { name = "torch", marker = "platform_machine == 'arm64' and sys_platform == 'darwin'", specifier = "==2.8.0" },
     { name = "torch", marker = "platform_machine == 'x86_64' and sys_platform == 'darwin'", specifier = "==2.2.2" },
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+    { name = "torchaudio", marker = "sys_platform != 'darwin'", specifier = "==2.8.0+cpu", index = "https://download.pytorch.org/whl/cpu" },
+    { name = "torchaudio", marker = "platform_machine == 'arm64' and sys_platform == 'darwin'", specifier = "==2.8.0" },
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+    { name = "torch", version = "2.8.0", source = { registry = "https://pypi.org/simple" }, marker = "platform_machine != 'x86_64' and sys_platform == 'darwin'" },
+    { name = "torch", version = "2.8.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform != 'darwin'" },
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+    { name = "torch", version = "2.8.0", source = { registry = "https://pypi.org/simple" }, marker = "platform_machine != 'x86_64' and sys_platform == 'darwin'" },
+    { name = "torch", version = "2.8.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform != 'darwin'" },
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+    { name = "torch", version = "2.8.0", source = { registry = "https://pypi.org/simple" }, marker = "platform_machine != 'x86_64' and sys_platform == 'darwin'" },
+    { name = "torch", version = "2.8.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform != 'darwin'" },
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+    { name = "torch", version = "2.8.0", source = { registry = "https://pypi.org/simple" }, marker = "platform_machine != 'x86_64' and sys_platform == 'darwin'" },
+    { name = "torch", version = "2.8.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform != 'darwin'" },
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+    { name = "torch", version = "2.8.0", source = { registry = "https://pypi.org/simple" }, marker = "platform_machine != 'x86_64' and sys_platform == 'darwin'" },
+    { name = "torch", version = "2.8.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform != 'darwin'" },
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+    { name = "torch", version = "2.8.0", source = { registry = "https://pypi.org/simple" }, marker = "platform_machine != 'x86_64' and sys_platform == 'darwin'" },
+    { name = "torch", version = "2.8.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform != 'darwin'" },
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+    { name = "torch", version = "2.8.0", source = { registry = "https://pypi.org/simple" }, marker = "platform_machine != 'x86_64' and sys_platform == 'darwin'" },
+    { name = "torch", version = "2.8.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform != 'darwin'" },
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+    { name = "torch", version = "2.8.0", source = { registry = "https://pypi.org/simple" }, marker = "platform_machine != 'x86_64' and sys_platform == 'darwin'" },
+    { name = "torch", version = "2.8.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform != 'darwin'" },
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+    { name = "torchaudio", version = "2.8.0", source = { registry = "https://pypi.org/simple" }, marker = "platform_machine != 'x86_64' and sys_platform == 'darwin'" },
+    { name = "torchaudio", version = "2.8.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform != 'darwin'" },
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+    { name = "torch", version = "2.8.0", source = { registry = "https://pypi.org/simple" }, marker = "platform_machine != 'x86_64' and sys_platform == 'darwin'" },
+    { name = "torch", version = "2.8.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform != 'darwin'" },
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+    { name = "torch", version = "2.8.0", source = { registry = "https://pypi.org/simple" }, marker = "platform_machine != 'x86_64' and sys_platform == 'darwin'" },
+    { name = "torch", version = "2.8.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform != 'darwin'" },
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+[[package]]
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+
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 name = "torch"
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+    { name = "torch", version = "2.8.0", source = { registry = "https://pypi.org/simple" }, marker = "platform_machine != 'x86_64' and sys_platform == 'darwin'" },
+    { name = "torch", version = "2.8.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform != 'darwin'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/85/2e/48a887a59ecc4a10ce9e8b35b3e3c5cef29d902c4eac143378526e7485cb/torchmetrics-1.8.2.tar.gz", hash = "sha256:cf64a901036bf107f17a524009eea7781c9c5315d130713aeca5747a686fe7a5", size = 580679, upload-time = "2025-09-03T14:00:54.077Z" }
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From ebf78bd59535a5b91deaa740a2ee0e3315d23f2d Mon Sep 17 00:00:00 2001
From: Raivis Dejus <orvils@gmail.com>
Date: Sun, 29 Mar 2026 18:57:04 +0300
Subject: [PATCH 17/35] Teest fix

---
 buzz/transcriber/recording_transcriber.py    | 11 +++++++++--
 buzz/widgets/recording_transcriber_widget.py |  7 ++++++-
 2 files changed, 15 insertions(+), 3 deletions(-)

diff --git a/buzz/transcriber/recording_transcriber.py b/buzz/transcriber/recording_transcriber.py
index b273abe3ab..6bb616171c 100644
--- a/buzz/transcriber/recording_transcriber.py
+++ b/buzz/transcriber/recording_transcriber.py
@@ -3,6 +3,7 @@
 import platform
 import os
 import sys
+import socket
 import wave
 import time
 import tempfile
@@ -79,6 +80,7 @@ def __init__(
         self.process = None
         self._stderr_lines: list[bytes] = []
         self.use_cuda = False
+        self._whisper_server_port: int = 3003
 
     def start(self):
         self.is_running = True
@@ -469,10 +471,15 @@ def start_local_whisper_server(self):
         if not os.path.exists(server_path):
             server_path = os.path.join(APP_BASE_DIR, "buzz", "whisper_cpp", server_executable)
 
+        # Pick a free port to avoid conflicts when multiple tests or instances run concurrently
+        with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as _s:
+            _s.bind(('127.0.0.1', 0))
+            self._whisper_server_port = _s.getsockname()[1]
+
         cmd = [
             server_path,
             "--host", "0.0.0.0",
-            "--port", "3003",
+            "--port", str(self._whisper_server_port),
             "--inference-path", "/audio/transcriptions",
             "--threads", str(os.getenv("BUZZ_WHISPERCPP_N_THREADS", (os.cpu_count() or 8) // 2)),
             "--model", self.model_path,
@@ -551,7 +558,7 @@ def start_local_whisper_server(self):
 
         self.openai_client = OpenAI(
             api_key="not-used",
-            base_url="http://127.0.0.1:3003",
+            base_url=f"http://127.0.0.1:{self._whisper_server_port}",
             timeout=30.0,
             max_retries=0
         )
diff --git a/buzz/widgets/recording_transcriber_widget.py b/buzz/widgets/recording_transcriber_widget.py
index 1cb0e23f1f..ee0f03db14 100644
--- a/buzz/widgets/recording_transcriber_widget.py
+++ b/buzz/widgets/recording_transcriber_widget.py
@@ -1120,6 +1120,7 @@ def on_transcriber_error(self, error: str):
         self.reset_record_button()
         self.set_recording_status_stopped()
         self.reset_recording_amplitude_listener()
+        self.transcription_stopped.emit()
         QMessageBox.critical(
             self,
             "",
@@ -1166,7 +1167,11 @@ def closeEvent(self, event: QCloseEvent) -> None:
             super().closeEvent(event)
             return
 
-        if self.current_status == self.RecordingStatus.RECORDING:
+        thread_running = (
+            self.transcription_thread is not None
+            and self.transcription_thread.isRunning()
+        )
+        if self.current_status == self.RecordingStatus.RECORDING or thread_running:
             # Defer the close until the transcription thread finishes to avoid
             # blocking the GUI thread with a synchronous wait.
             event.ignore()

From 946a0626c752e71711951958ac191ad59ee0866f Mon Sep 17 00:00:00 2001
From: Raivis Dejus <orvils@gmail.com>
Date: Sun, 29 Mar 2026 19:43:50 +0300
Subject: [PATCH 18/35] Teest fix

---
 buzz/widgets/recording_transcriber_widget.py | 6 +-----
 1 file changed, 1 insertion(+), 5 deletions(-)

diff --git a/buzz/widgets/recording_transcriber_widget.py b/buzz/widgets/recording_transcriber_widget.py
index ee0f03db14..31dde4801d 100644
--- a/buzz/widgets/recording_transcriber_widget.py
+++ b/buzz/widgets/recording_transcriber_widget.py
@@ -1167,11 +1167,7 @@ def closeEvent(self, event: QCloseEvent) -> None:
             super().closeEvent(event)
             return
 
-        thread_running = (
-            self.transcription_thread is not None
-            and self.transcription_thread.isRunning()
-        )
-        if self.current_status == self.RecordingStatus.RECORDING or thread_running:
+        if self.current_status == self.RecordingStatus.RECORDING or self.transcription_thread is not None:
             # Defer the close until the transcription thread finishes to avoid
             # blocking the GUI thread with a synchronous wait.
             event.ignore()

From 9da497d8b6e1f7c2a7c91a992a84f004332e4506 Mon Sep 17 00:00:00 2001
From: Raivis Dejus <orvils@gmail.com>
Date: Mon, 4 May 2026 17:48:38 +0300
Subject: [PATCH 19/35] uv.lock upate

---
 uv.lock | 33 +++++++++++++++++++--------------
 1 file changed, 19 insertions(+), 14 deletions(-)

diff --git a/uv.lock b/uv.lock
index 7c65ce3fa9..688c1b7457 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1129,6 +1129,7 @@ wheels = [
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     { url = "https://files.pythonhosted.org/packages/43/ab/7ebfe34dce8b87be0d11dae91acbf76f7b8246bf9d6b319c741f99fa59c6/greenlet-3.3.0-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:349345b770dc88f81506c6861d22a6ccd422207829d2c854ae2af8025af303e3", size = 597294, upload-time = "2025-12-04T14:50:06.847Z" },
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+    { url = "https://files.pythonhosted.org/packages/77/cb/43692bcd5f7a0da6ec0ec6d58ee7cddb606d055ce94a62ac9b1aa481e969/greenlet-3.3.0-cp312-cp312-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:c024b1e5696626890038e34f76140ed1daf858e37496d33f2af57f06189e70d7", size = 622297, upload-time = "2025-12-04T15:07:13.552Z" },
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     { url = "https://files.pythonhosted.org/packages/49/0e/49b46ac39f931f59f987b7cd9f34bfec8ef81d2a1e6e00682f55be5de9f4/greenlet-3.3.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:2d9ad37fc657b1102ec880e637cccf20191581f75c64087a549e66c57e1ceb53", size = 1567424, upload-time = "2025-12-04T15:04:23.757Z" },
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@@ -1864,12 +1865,16 @@ version = "3.0.2"
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+    { url = "https://files.pythonhosted.org/packages/c1/80/a61f99dc3a936413c3ee4e1eecac96c0da5ed07ad56fd975f1a9da5bc630/MarkupSafe-3.0.2-cp312-cp312-win_amd64.whl", hash = "sha256:8e06879fc22a25ca47312fbe7c8264eb0b662f6db27cb2d3bbbc74b1df4b9b87", size = 15601, upload-time = "2024-10-18T15:21:23.499Z" },
 ]
 
 [[package]]
@@ -4025,11 +4030,11 @@ dependencies = [
     { name = "typing-extensions", marker = "sys_platform != 'darwin'" },
 ]
 wheels = [
-    { url = "https://download-r2.pytorch.org/whl/cpu/torch-2.8.0%2Bcpu-cp312-cp312-linux_s390x.whl", hash = "sha256:0e34e276722ab7dd0dffa9e12fe2135a9b34a0e300c456ed7ad6430229404eb5" },
-    { url = "https://download.pytorch.org/whl/cpu/torch-2.8.0%2Bcpu-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:610f600c102386e581327d5efc18c0d6edecb9820b4140d26163354a99cd800d", upload-time = "2025-10-02T00:08:10Z" },
-    { url = "https://download-r2.pytorch.org/whl/cpu/torch-2.8.0%2Bcpu-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:cb9a8ba8137ab24e36bf1742cb79a1294bd374db570f09fc15a5e1318160db4e", upload-time = "2025-10-02T00:10:15Z" },
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+    { url = "https://download-r2.pytorch.org/whl/cpu/torch-2.8.0%2Bcpu-cp312-cp312-linux_s390x.whl", hash = "sha256:0e34e276722ab7dd0dffa9e12fe2135a9b34a0e300c456ed7ad6430229404eb5", upload-time = "2025-10-01T23:33:41Z" },
+    { url = "https://download-r2.pytorch.org/whl/cpu/torch-2.8.0%2Bcpu-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:610f600c102386e581327d5efc18c0d6edecb9820b4140d26163354a99cd800d", upload-time = "2025-10-01T23:33:45Z" },
+    { url = "https://download-r2.pytorch.org/whl/cpu/torch-2.8.0%2Bcpu-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:cb9a8ba8137ab24e36bf1742cb79a1294bd374db570f09fc15a5e1318160db4e", upload-time = "2025-10-01T23:33:48Z" },
+    { url = "https://download-r2.pytorch.org/whl/cpu/torch-2.8.0%2Bcpu-cp312-cp312-win_amd64.whl", hash = "sha256:2be20b2c05a0cce10430cc25f32b689259640d273232b2de357c35729132256d", upload-time = "2025-10-01T23:33:52Z" },
+    { url = "https://download-r2.pytorch.org/whl/cpu/torch-2.8.0%2Bcpu-cp312-cp312-win_arm64.whl", hash = "sha256:99fc421a5d234580e45957a7b02effbf3e1c884a5dd077afc85352c77bf41434", upload-time = "2025-10-01T23:34:10Z" },
 ]
 
 [[package]]
@@ -4074,8 +4079,8 @@ dependencies = [
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 ]
 wheels = [
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-    { url = "https://download-r2.pytorch.org/whl/cpu/torchaudio-2.8.0%2Bcpu-cp312-cp312-win_amd64.whl", hash = "sha256:9b302192b570657c1cc787a4d487ae4bbb7f2aab1c01b1fcc46757e7f86f391e", upload-time = "2025-08-05T20:12:08Z" },
+    { url = "https://download-r2.pytorch.org/whl/cpu/torchaudio-2.8.0%2Bcpu-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:9377faee65a290578280ac7f4884c3586253dac2ca28c60f458ff6efe86a6b05", upload-time = "2025-08-05T20:12:02Z" },
+    { url = "https://download-r2.pytorch.org/whl/cpu/torchaudio-2.8.0%2Bcpu-cp312-cp312-win_amd64.whl", hash = "sha256:9b302192b570657c1cc787a4d487ae4bbb7f2aab1c01b1fcc46757e7f86f391e", upload-time = "2025-08-05T20:12:02Z" },
 ]
 
 [[package]]
@@ -4178,7 +4183,7 @@ wheels = [
 [[package]]
 name = "truststore"
 version = "0.10.4"
-source = { registry = "https://pypi.org/simple/" }
+source = { registry = "https://pypi.org/simple" }
 sdist = { url = "https://files.pythonhosted.org/packages/53/a3/1585216310e344e8102c22482f6060c7a6ea0322b63e026372e6dcefcfd6/truststore-0.10.4.tar.gz", hash = "sha256:9d91bd436463ad5e4ee4aba766628dd6cd7010cf3e2461756b3303710eebc301", size = 26169, upload-time = "2025-08-12T18:49:02.73Z" }
 wheels = [
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From d7f7f967bbae0af97defda8b65b5bb00397fb5f0 Mon Sep 17 00:00:00 2001
From: Raivis Dejus <orvils@gmail.com>
Date: Mon, 4 May 2026 18:22:04 +0300
Subject: [PATCH 20/35] Fix for finding local CUDA

---
 buzz/cuda_setup.py | 56 +++++++++++++++++++++++++++++-----------------
 1 file changed, 35 insertions(+), 21 deletions(-)

diff --git a/buzz/cuda_setup.py b/buzz/cuda_setup.py
index 0b7bf8e569..8bae3e861c 100644
--- a/buzz/cuda_setup.py
+++ b/buzz/cuda_setup.py
@@ -138,8 +138,25 @@ def _collect_cuda_lib_dirs(cuda_target: Path) -> list[str]:
     return lib_dirs
 
 
+def _collect_site_packages_cuda_lib_dirs() -> list[str]:
+    """Return all nvidia/torch lib dirs found in any site-packages directory."""
+    lib_dirs: list[str] = []
+    for sp_dir in _get_site_packages_dirs():
+        torch_lib = sp_dir / "torch" / "lib"
+        if torch_lib.exists():
+            lib_dirs.append(str(torch_lib))
+        nvidia_dir = sp_dir / "nvidia"
+        if nvidia_dir.exists():
+            for pkg_dir in sorted(nvidia_dir.iterdir()):
+                if pkg_dir.is_dir():
+                    lib_subdir = pkg_dir / "lib"
+                    if lib_subdir.exists():
+                        lib_dirs.append(str(lib_subdir))
+    return lib_dirs
+
+
 def _setup_linux_cuda():
-    """Set up CUDA libraries on Linux for snap/flatpak CUDA installs.
+    """Set up CUDA libraries on Linux.
 
     LD_LIBRARY_PATH is read by the dynamic linker only at process start, so
     preloading individual .so files with ctypes is fragile: if *any* library
@@ -148,39 +165,36 @@ def _setup_linux_cuda():
     or torchaudio crash with "cannot open shared object file".
 
     The reliable fix is to re-exec the current process with LD_LIBRARY_PATH
-    extended to include all cuda_packages lib dirs.  After re-exec the dynamic
-    linker finds every CUDA library via the standard search path for the
-    entire lifetime of the process.
+    extended to include all cuda lib dirs.  After re-exec the dynamic linker
+    finds every CUDA library via the standard search path for the entire
+    lifetime of the process.
 
-    A sentinel value in LD_LIBRARY_PATH prevents infinite re-exec loops.
+    A sentinel env var prevents infinite re-exec loops.
     """
-    # Ensure cuda_packages is on sys.path so Python can import torch
+    # Ensure cuda_packages (snap/flatpak) is on sys.path so Python can import torch
     _get_site_packages_dirs()
 
-    cuda_target = _get_cuda_target_dir()
-    if cuda_target is None or not cuda_target.exists():
-        logger.debug("CUDA setup: no cuda_packages dir found, skipping")
-        return
-
-    torch_lib = cuda_target / "torch" / "lib"
-    if not torch_lib.exists():
-        logger.debug("CUDA setup: no torch/lib in cuda_packages, skipping")
+    if os.environ.get("BUZZ_CUDA_SETUP_DONE"):
+        logger.info("CUDA setup: already done (sentinel set), proceeding")
         return
 
-    sentinel = str(torch_lib)
-    current_ld = os.environ.get("LD_LIBRARY_PATH", "")
+    # Collect lib dirs from snap/flatpak cuda_packages OR regular site-packages
+    cuda_target = _get_cuda_target_dir()
+    if cuda_target is not None and cuda_target.exists():
+        extra_dirs = _collect_cuda_lib_dirs(cuda_target)
+    else:
+        extra_dirs = _collect_site_packages_cuda_lib_dirs()
 
-    if sentinel in current_ld.split(":"):
-        # Already re-exec'd (or user manually set the path) — nothing to do
-        logger.info("CUDA setup: LD_LIBRARY_PATH already contains cuda torch/lib, proceeding")
+    if not extra_dirs:
+        logger.debug("CUDA setup: no nvidia/torch lib dirs found, skipping")
         return
 
-    # Build new LD_LIBRARY_PATH: cuda_packages lib dirs prepended to existing path
-    extra_dirs = _collect_cuda_lib_dirs(cuda_target)
+    current_ld = os.environ.get("LD_LIBRARY_PATH", "")
     new_ld = ":".join(extra_dirs)
     if current_ld:
         new_ld = new_ld + ":" + current_ld
     os.environ["LD_LIBRARY_PATH"] = new_ld
+    os.environ["BUZZ_CUDA_SETUP_DONE"] = "1"
 
     # Re-exec the process so the dynamic linker picks up the new LD_LIBRARY_PATH.
     # We read the original argv from /proc/self/cmdline to preserve the exact

From 90a2f89a70448fd4ee62082c40eb449f41af943d Mon Sep 17 00:00:00 2001
From: Raivis Dejus <orvils@gmail.com>
Date: Mon, 4 May 2026 19:01:13 +0300
Subject: [PATCH 21/35] Ensuring pip

---
 buzz/cuda_manager.py | 46 ++++++++++++++++++++++----------------------
 1 file changed, 23 insertions(+), 23 deletions(-)

diff --git a/buzz/cuda_manager.py b/buzz/cuda_manager.py
index 3e9e97eda5..213098d3bc 100644
--- a/buzz/cuda_manager.py
+++ b/buzz/cuda_manager.py
@@ -178,6 +178,26 @@ def report(msg):
     report("CUDA installation complete. Please restart Buzz to enable GPU acceleration.")
 
 
+def _ensure_pip(python: str) -> list[str]:
+    """Return [python, '-m', 'pip'], bootstrapping pip via ensurepip if needed."""
+    hide_kwargs = _subprocess_hide_window_kwargs()
+    pip_cmd = [python, "-m", "pip"]
+    probe = subprocess.run(pip_cmd + ["--version"], capture_output=True, timeout=15, **hide_kwargs)
+    if probe.returncode == 0:
+        return pip_cmd
+    logger.info("pip not found for %s, bootstrapping via ensurepip...", python)
+    bootstrap = subprocess.run(
+        [python, "-m", "ensurepip", "--upgrade"],
+        capture_output=True, timeout=60, **hide_kwargs,
+    )
+    if bootstrap.returncode != 0:
+        raise RuntimeError(
+            f"pip is not available for {python} and ensurepip failed. "
+            "Please install pip manually and try again."
+        )
+    return pip_cmd
+
+
 def _get_pip_cmd() -> list[str]:
     """Return a [python, '-m', 'pip'] command that is guaranteed to work.
 
@@ -198,38 +218,18 @@ def _get_pip_cmd() -> list[str]:
         python_name = "python.exe" if sys.platform == "win32" else "python3"
         bundled_python = internal_dir / "python" / python_name
         if bundled_python.is_file():
-            return [str(bundled_python), "-m", "pip"]
+            return _ensure_pip(str(bundled_python))
         # Fallback: look in PATH
         for candidate in ("python3.12", "python3", "python"):
             python = shutil.which(candidate)
             if python:
-                return [python, "-m", "pip"]
+                return _ensure_pip(python)
         raise RuntimeError(
             "Could not find a Python interpreter. "
             "Please install Python 3.12 and try again."
         )
 
-    pip_cmd = [sys.executable, "-m", "pip"]
-    hide_kwargs = _subprocess_hide_window_kwargs()
-
-    # Check if pip is already available
-    probe = subprocess.run(pip_cmd + ["--version"], capture_output=True, timeout=15, **hide_kwargs)
-    if probe.returncode == 0:
-        return pip_cmd
-
-    # Try to bootstrap pip via ensurepip (available in CPython stdlib)
-    logger.info("pip not found, bootstrapping via ensurepip...")
-    bootstrap = subprocess.run(
-        [sys.executable, "-m", "ensurepip", "--upgrade"],
-        capture_output=True, timeout=60, **hide_kwargs,
-    )
-    if bootstrap.returncode != 0:
-        raise RuntimeError(
-            "pip is not available and ensurepip failed. "
-            "Please install pip manually and try again."
-        )
-
-    return pip_cmd
+    return _ensure_pip(sys.executable)
 
 
 def _subprocess_hide_window_kwargs() -> dict[str, Any]:

From aa1fbe33aebe8ac3aa75bb3d911ba5629bed0a4c Mon Sep 17 00:00:00 2001
From: Raivis Dejus <orvils@gmail.com>
Date: Mon, 4 May 2026 19:06:03 +0300
Subject: [PATCH 22/35] CUDA installer UI adjustments

---
 buzz/widgets/cuda_installer_widget.py | 7 ++++++-
 1 file changed, 6 insertions(+), 1 deletion(-)

diff --git a/buzz/widgets/cuda_installer_widget.py b/buzz/widgets/cuda_installer_widget.py
index f60457f9e4..4b51e26330 100644
--- a/buzz/widgets/cuda_installer_widget.py
+++ b/buzz/widgets/cuda_installer_widget.py
@@ -107,6 +107,7 @@ def _on_install_clicked(self):
         self.decline_button.setEnabled(False)
         self.progress_bar.setVisible(True)
         self.log_view.setVisible(True)
+        self.status_label.setVisible(False)
 
         worker = _InstallWorker()
         worker.signals.progress.connect(self._on_progress)
@@ -117,10 +118,13 @@ def _on_install_clicked(self):
 
     def _on_progress(self, message: str):
         self.log_view.append(message)
-        self.status_label.setText(message[:80])
+        self.log_view.verticalScrollBar().setValue(
+            self.log_view.verticalScrollBar().maximum()
+        )
 
     def _on_finished(self):
         self.progress_bar.setVisible(False)
+        self.status_label.setVisible(True)
         self.status_label.setText(
             _("Installation complete! Restart Buzz to enable GPU acceleration.")
         )
@@ -131,6 +135,7 @@ def _on_finished(self):
 
     def _on_error(self, error: str):
         self.progress_bar.setVisible(False)
+        self.status_label.setVisible(True)
         self.status_label.setText(_("Installation failed: {}").format(error))
         self.install_button.setEnabled(True)
         self.decline_button.setEnabled(True)

From 37159524a1999262022a961c6b6b46986abc282e Mon Sep 17 00:00:00 2001
From: Raivis Dejus <orvils@gmail.com>
Date: Mon, 4 May 2026 20:23:39 +0300
Subject: [PATCH 23/35] Fixed tests

---
 buzz/cuda_setup.py                           |  7 +++
 buzz/transcriber/cuda_device.py              | 17 ++++++
 buzz/transcriber/recording_transcriber.py    | 12 ++--
 buzz/transcriber/whisper_file_transcriber.py | 13 +++--
 buzz/transformers_whisper.py                 |  5 +-
 tests/cuda_setup_test.py                     | 59 ++++++++++++++------
 tests/widgets/cuda_installer_widget_test.py  | 13 -----
 7 files changed, 81 insertions(+), 45 deletions(-)
 create mode 100644 buzz/transcriber/cuda_device.py

diff --git a/buzz/cuda_setup.py b/buzz/cuda_setup.py
index 8bae3e861c..248fa5a94b 100644
--- a/buzz/cuda_setup.py
+++ b/buzz/cuda_setup.py
@@ -178,6 +178,13 @@ def _setup_linux_cuda():
         logger.info("CUDA setup: already done (sentinel set), proceeding")
         return
 
+    # Never re-exec inside a multiprocessing worker — it would destroy the IPC pipe.
+    # The parent process already set LD_LIBRARY_PATH before spawning workers.
+    import multiprocessing
+    if multiprocessing.parent_process() is not None:
+        logger.debug("CUDA setup: skipping re-exec in worker subprocess")
+        return
+
     # Collect lib dirs from snap/flatpak cuda_packages OR regular site-packages
     cuda_target = _get_cuda_target_dir()
     if cuda_target is not None and cuda_target.exists():
diff --git a/buzz/transcriber/cuda_device.py b/buzz/transcriber/cuda_device.py
new file mode 100644
index 0000000000..6a2e70e136
--- /dev/null
+++ b/buzz/transcriber/cuda_device.py
@@ -0,0 +1,17 @@
+import logging
+
+
+def cuda_works() -> bool:
+    """Return True only if CUDA is available AND a kernel actually executes without error."""
+    try:
+        import torch
+    except ImportError:
+        return False
+    if not torch.cuda.is_available() or not torch.version.cuda:
+        return False
+    try:
+        torch.zeros(1, device="cuda")
+        return True
+    except Exception as e:
+        logging.debug("CUDA smoke test failed, falling back to CPU: %s", e)
+        return False
diff --git a/buzz/transcriber/recording_transcriber.py b/buzz/transcriber/recording_transcriber.py
index 6bb616171c..8f6786ab02 100644
--- a/buzz/transcriber/recording_transcriber.py
+++ b/buzz/transcriber/recording_transcriber.py
@@ -17,6 +17,7 @@
 
 import torch
 import numpy as np
+from buzz.transcriber.cuda_device import cuda_works
 import sounddevice
 from sounddevice import PortAudioError
 from openai import OpenAI
@@ -168,7 +169,7 @@ def _load_model(self):
         model_path = self.model_path
 
         force_cpu = os.getenv("BUZZ_FORCE_CPU", "false")
-        use_cuda = torch.cuda.is_available() and force_cpu == "false"
+        use_cuda = cuda_works() and force_cpu == "false"
         self.use_cuda = use_cuda
 
         if torch.cuda.is_available():
@@ -195,12 +196,11 @@ def _load_model(self):
             model_root_dir = os.getenv("BUZZ_MODEL_ROOT", model_root_dir)
 
             device = "auto"
-            if torch.cuda.is_available() and torch.version.cuda < "12":
-                logging.debug("Unsupported CUDA version (<12), using CPU")
+            if not cuda_works():
+                logging.debug("CUDA not available or not functional, using CPU")
                 device = "cpu"
-
-            if not torch.cuda.is_available():
-                logging.debug("CUDA is not available, using CPU")
+            elif torch.version.cuda < "12":
+                logging.debug("Unsupported CUDA version (<12), using CPU")
                 device = "cpu"
 
             if force_cpu != "false":
diff --git a/buzz/transcriber/whisper_file_transcriber.py b/buzz/transcriber/whisper_file_transcriber.py
index a815633259..0fa1d42e5b 100644
--- a/buzz/transcriber/whisper_file_transcriber.py
+++ b/buzz/transcriber/whisper_file_transcriber.py
@@ -11,6 +11,8 @@
 
 import torch
 import platform
+
+from buzz.transcriber.cuda_device import cuda_works
 import subprocess
 from platformdirs import user_cache_dir
 from multiprocessing.connection import Connection
@@ -326,12 +328,11 @@ def transcribe_faster_whisper(cls, task: FileTranscriptionTask) -> List[Segment]
             os.environ["CUDA_VISIBLE_DEVICES"] = ""
 
         device = "auto"
-        if torch.cuda.is_available() and torch.version.cuda < "12":
-            logging.debug("Unsupported CUDA version (<12), using CPU")
+        if not cuda_works():
+            logging.debug("CUDA not available or not functional, using CPU")
             device = "cpu"
-
-        if not torch.cuda.is_available():
-            logging.debug("CUDA is not available, using CPU")
+        elif torch.version.cuda < "12":
+            logging.debug("Unsupported CUDA version (<12), using CPU")
             device = "cpu"
 
         if force_cpu != "false":
@@ -397,7 +398,7 @@ def transcribe_openai_whisper(cls, task: FileTranscriptionTask) -> List[Segment]
         if force_cpu != "false":
             os.environ["CUDA_VISIBLE_DEVICES"] = ""
 
-        use_cuda = torch.cuda.is_available() and force_cpu == "false"
+        use_cuda = cuda_works() and force_cpu == "false"
 
         device = "cuda" if use_cuda else "cpu"
 
diff --git a/buzz/transformers_whisper.py b/buzz/transformers_whisper.py
index 7543000155..7f998ab512 100644
--- a/buzz/transformers_whisper.py
+++ b/buzz/transformers_whisper.py
@@ -9,6 +9,7 @@
 
 import torch
 import requests
+from buzz.transcriber.cuda_device import cuda_works
 from typing import Union
 from transformers import AutoModelForSpeechSeq2Seq, AutoProcessor, pipeline, BitsAndBytesConfig
 from transformers.pipelines import AutomaticSpeechRecognitionPipeline
@@ -289,7 +290,7 @@ def _transcribe_whisper(
     ):
         """Transcribe using Whisper model."""
         force_cpu = os.getenv("BUZZ_FORCE_CPU", "false")
-        use_cuda = torch.cuda.is_available() and force_cpu == "false"
+        use_cuda = cuda_works() and force_cpu == "false"
         device = "cuda" if use_cuda else "cpu"
         torch_dtype = torch.float16 if use_cuda else torch.float32
 
@@ -793,7 +794,7 @@ def _transcribe_mms(
         from transformers import Wav2Vec2ForCTC, AutoProcessor as MMSAutoProcessor
 
         force_cpu = os.getenv("BUZZ_FORCE_CPU", "false")
-        use_cuda = torch.cuda.is_available() and force_cpu == "false"
+        use_cuda = cuda_works() and force_cpu == "false"
         device = "cuda" if use_cuda else "cpu"
 
         # Map language code to ISO 639-3 for MMS
diff --git a/tests/cuda_setup_test.py b/tests/cuda_setup_test.py
index 11193c8ed3..2eb4f47ac5 100644
--- a/tests/cuda_setup_test.py
+++ b/tests/cuda_setup_test.py
@@ -1,8 +1,5 @@
 import sys
-from pathlib import Path
-from unittest.mock import MagicMock, patch
-
-import pytest
+from unittest.mock import patch
 
 
 class TestGetCudaTargetDir:
@@ -117,46 +114,57 @@ class TestSetupLinuxCuda:
     def test_skips_when_no_cuda_target(self, monkeypatch):
         monkeypatch.delenv("SNAP_USER_DATA", raising=False)
         monkeypatch.delenv("FLATPAK_ID", raising=False)
+        monkeypatch.delenv("BUZZ_CUDA_SETUP_DONE", raising=False)
 
         with patch("buzz.cuda_setup._get_cuda_target_dir", return_value=None):
-            from buzz.cuda_setup import _setup_linux_cuda
-            _setup_linux_cuda()  # should not raise
+            with patch("buzz.cuda_setup._collect_site_packages_cuda_lib_dirs", return_value=[]):
+                with patch("multiprocessing.parent_process", return_value=None):
+                    from buzz.cuda_setup import _setup_linux_cuda
+                    _setup_linux_cuda()  # should not raise
 
     def test_skips_when_cuda_target_does_not_exist(self, monkeypatch, tmp_path):
+        monkeypatch.delenv("BUZZ_CUDA_SETUP_DONE", raising=False)
         nonexistent = tmp_path / "nonexistent"
         with patch("buzz.cuda_setup._get_cuda_target_dir", return_value=nonexistent):
-            from buzz.cuda_setup import _setup_linux_cuda
-            _setup_linux_cuda()  # should not raise
+            with patch("buzz.cuda_setup._collect_site_packages_cuda_lib_dirs", return_value=[]):
+                with patch("multiprocessing.parent_process", return_value=None):
+                    from buzz.cuda_setup import _setup_linux_cuda
+                    _setup_linux_cuda()  # should not raise
 
     def test_skips_when_no_torch_lib(self, monkeypatch, tmp_path):
+        monkeypatch.delenv("BUZZ_CUDA_SETUP_DONE", raising=False)
         cuda_target = tmp_path / "cuda_packages"
         cuda_target.mkdir()
         with patch("buzz.cuda_setup._get_cuda_target_dir", return_value=cuda_target):
-            from buzz.cuda_setup import _setup_linux_cuda
-            _setup_linux_cuda()  # should not raise
+            with patch("buzz.cuda_setup._collect_site_packages_cuda_lib_dirs", return_value=[]):
+                with patch("multiprocessing.parent_process", return_value=None):
+                    from buzz.cuda_setup import _setup_linux_cuda
+                    _setup_linux_cuda()  # should not raise
 
-    def test_reexecs_when_sentinel_not_in_ld_path(self, monkeypatch, tmp_path):
+    def test_reexecs_when_sentinel_not_set(self, monkeypatch, tmp_path):
         cuda_target = tmp_path / "cuda_packages"
         torch_lib = cuda_target / "torch" / "lib"
         torch_lib.mkdir(parents=True)
 
+        monkeypatch.delenv("BUZZ_CUDA_SETUP_DONE", raising=False)
         monkeypatch.delenv("LD_LIBRARY_PATH", raising=False)
 
         with patch("buzz.cuda_setup._get_cuda_target_dir", return_value=cuda_target):
             with patch("buzz.cuda_setup._collect_cuda_lib_dirs", return_value=[str(torch_lib)]):
-                with patch("os.execv", side_effect=OSError("test")) as mock_execv:
-                    with patch("buzz.cuda_setup._preload_linux_libraries_fallback") as mock_fallback:
-                        from buzz.cuda_setup import _setup_linux_cuda
-                        _setup_linux_cuda()
+                with patch("multiprocessing.parent_process", return_value=None):
+                    with patch("os.execv", side_effect=OSError("test")):
+                        with patch("buzz.cuda_setup._preload_linux_libraries_fallback") as mock_fallback:
+                            from buzz.cuda_setup import _setup_linux_cuda
+                            _setup_linux_cuda()
 
-                mock_fallback.assert_called_once()
+                    mock_fallback.assert_called_once()
 
-    def test_no_reexec_when_sentinel_already_in_ld_path(self, monkeypatch, tmp_path):
+    def test_no_reexec_when_sentinel_already_set(self, monkeypatch, tmp_path):
         cuda_target = tmp_path / "cuda_packages"
         torch_lib = cuda_target / "torch" / "lib"
         torch_lib.mkdir(parents=True)
 
-        monkeypatch.setenv("LD_LIBRARY_PATH", str(torch_lib))
+        monkeypatch.setenv("BUZZ_CUDA_SETUP_DONE", "1")
 
         with patch("buzz.cuda_setup._get_cuda_target_dir", return_value=cuda_target):
             with patch("os.execv") as mock_execv:
@@ -165,6 +173,21 @@ def test_no_reexec_when_sentinel_already_in_ld_path(self, monkeypatch, tmp_path)
 
             mock_execv.assert_not_called()
 
+    def test_no_reexec_in_worker_subprocess(self, monkeypatch, tmp_path):
+        cuda_target = tmp_path / "cuda_packages"
+        torch_lib = cuda_target / "torch" / "lib"
+        torch_lib.mkdir(parents=True)
+
+        monkeypatch.delenv("BUZZ_CUDA_SETUP_DONE", raising=False)
+
+        with patch("buzz.cuda_setup._get_cuda_target_dir", return_value=cuda_target):
+            with patch("multiprocessing.parent_process", return_value=object()):
+                with patch("os.execv") as mock_execv:
+                    from buzz.cuda_setup import _setup_linux_cuda
+                    _setup_linux_cuda()
+
+                mock_execv.assert_not_called()
+
 
 class TestSetupWindowsDllDirectories:
     def test_calls_add_dll_directory(self, tmp_path):
diff --git a/tests/widgets/cuda_installer_widget_test.py b/tests/widgets/cuda_installer_widget_test.py
index e9e22444a2..61db84a63f 100644
--- a/tests/widgets/cuda_installer_widget_test.py
+++ b/tests/widgets/cuda_installer_widget_test.py
@@ -89,19 +89,6 @@ def test_on_progress_appends_to_log(self, qtbot: QtBot):
         dialog._on_progress("step 1")
         assert "step 1" in dialog.log_view.toPlainText()
 
-    def test_on_progress_updates_status_label(self, qtbot: QtBot):
-        dialog = CudaInstallerDialog()
-        qtbot.add_widget(dialog)
-        dialog._on_progress("Installing packages...")
-        assert dialog.status_label.text() != ""
-
-    def test_on_progress_truncates_long_message(self, qtbot: QtBot):
-        dialog = CudaInstallerDialog()
-        qtbot.add_widget(dialog)
-        long_msg = "x" * 200
-        dialog._on_progress(long_msg)
-        assert len(dialog.status_label.text()) <= 80
-
     def test_on_finished_re_enables_install_button(self, qtbot: QtBot):
         dialog = CudaInstallerDialog()
         qtbot.add_widget(dialog)

From ab9cb658be86b2cc30c1c7f47af5060def41f0e5 Mon Sep 17 00:00:00 2001
From: Raivis Dejus <orvils@gmail.com>
Date: Sat, 5 Sep 2026 10:06:04 +0300
Subject: [PATCH 24/35] Regenerate uv.lock after rebase onto main

The lockfile was resolved to the branch side during the rebase and was
stale against main's dependency bumps. Regenerated with `uv lock`.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
---
 uv.lock | 2784 ++++++++++++++++++++++++++++++-------------------------
 1 file changed, 1499 insertions(+), 1285 deletions(-)

diff --git a/uv.lock b/uv.lock
index 688c1b7457..c6e404b533 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,19 +1,15 @@
 version = 1
 revision = 3
-requires-python = "==3.12.*"
+requires-python = "==3.13.*"
 resolution-markers = [
-    "(platform_machine != 'aarch64' and sys_platform == 'linux') or (platform_python_implementation != 'CPython' and sys_platform == 'linux')",
-    "sys_platform != 'darwin' and sys_platform != 'linux'",
-    "platform_machine == 'aarch64' and platform_python_implementation == 'CPython' and sys_platform == 'linux'",
+    "sys_platform == 'linux'",
+    "sys_platform == 'win32'",
     "platform_machine == 'arm64' and sys_platform == 'darwin'",
-    "platform_machine == 'x86_64' and sys_platform == 'darwin'",
-    "platform_machine != 'arm64' and platform_machine != 'x86_64' and sys_platform == 'darwin'",
 ]
-
-[manifest]
-overrides = [
-    { name = "bitsandbytes", marker = "sys_platform != 'darwin'", specifier = "==0.47.0" },
-    { name = "bitsandbytes", marker = "platform_machine == 'arm64' and sys_platform == 'darwin'", specifier = "==0.49.0" },
+supported-markers = [
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-    "platform_machine == 'aarch64' and platform_python_implementation == 'CPython' and sys_platform == 'linux'",
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     { name = "dataclasses-json" },
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-    { name = "nemo-toolkit", extra = ["asr"], marker = "platform_machine != 'x86_64' or sys_platform != 'darwin'" },
+    { name = "nemo-toolkit-asr", extra = ["asr"] },
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     { name = "numpy" },
-    { name = "nvidia-cudnn-cu12", marker = "sys_platform != 'darwin'" },
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     { name = "onnxruntime" },
     { name = "openai" },
@@ -317,6 +355,7 @@ dependencies = [
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     { name = "posthog" },
+    { name = "psutil" },
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     { name = "pyqt6-qt6" },
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+    { name = "torchcodec" },
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 name = "yt-dlp"
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+version = "2026.8.19"
 source = { registry = "https://pypi.org/simple" }
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From e6d2754eed8caa7efd31e401b4a2a3ddc82c1963 Mon Sep 17 00:00:00 2001
From: Raivis Dejus <orvils@gmail.com>
Date: Sat, 5 Sep 2026 11:23:06 +0300
Subject: [PATCH 25/35] Updating cuda dependencies to match project main

---
 Buzz.spec            |  8 +++++---
 buzz/cuda_manager.py |  9 ++++++---
 buzz/cuda_setup.py   | 45 ++++++++++++++++++++++++++++++++++++++++++--
 3 files changed, 54 insertions(+), 8 deletions(-)

diff --git a/Buzz.spec b/Buzz.spec
index a6935dc4b9..86cee69fa8 100644
--- a/Buzz.spec
+++ b/Buzz.spec
@@ -105,16 +105,18 @@ else:
 
 binaries.append(("buzz/whisper_cpp/*", "buzz/whisper_cpp"))
 
-# Bundle a standalone Python 3.12 interpreter for runtime pip installs (e.g. CUDA).
+# Bundle a standalone Python interpreter for runtime pip installs (e.g. CUDA).
 # We copy python.exe, DLLs, and the stdlib from the uv-managed base interpreter.
+# The version is derived from the build interpreter so it tracks requires-python.
 if platform.system() == "Windows":
     import sys as _sys
-    _base = _sys.base_prefix  # e.g. .../uv/python/cpython-3.12.12-windows-x86_64-none
+    _base = _sys.base_prefix  # e.g. .../uv/python/cpython-3.13.12-windows-x86_64-none
+    _py_dll = f"python{_sys.version_info.major}{_sys.version_info.minor}.dll"
     _py_dest = "python"
     if os.path.isfile(os.path.join(_base, "python.exe")):
         binaries.append((os.path.join(_base, "python.exe"), _py_dest))
         binaries.append((os.path.join(_base, "python3.dll"), _py_dest))
-        binaries.append((os.path.join(_base, "python312.dll"), _py_dest))
+        binaries.append((os.path.join(_base, _py_dll), _py_dest))
         for _vcrt in ("vcruntime140.dll", "vcruntime140_1.dll"):
             _vcrt_path = os.path.join(_base, _vcrt)
             if os.path.isfile(_vcrt_path):
diff --git a/buzz/cuda_manager.py b/buzz/cuda_manager.py
index 213098d3bc..1d8d4960f7 100644
--- a/buzz/cuda_manager.py
+++ b/buzz/cuda_manager.py
@@ -211,7 +211,10 @@ def _get_pip_cmd() -> list[str]:
     import shutil
 
     # Frozen PyInstaller bundle — sys.executable can't run -m pip.
-    # Use the bundled Python 3.12 interpreter shipped alongside the app.
+    # Use the bundled interpreter shipped alongside the app. Its version always
+    # matches the one Buzz was frozen with, so derive it rather than hardcoding:
+    # the CUDA wheels are ABI-specific and a mismatch installs unusable packages.
+    version = f"{sys.version_info.major}.{sys.version_info.minor}"
     if getattr(sys, "frozen", False):
         # PyInstaller extracts bundled data to sys._MEIPASS (_internal dir)
         internal_dir = Path(getattr(sys, "_MEIPASS", Path(sys.executable).parent))
@@ -220,13 +223,13 @@ def _get_pip_cmd() -> list[str]:
         if bundled_python.is_file():
             return _ensure_pip(str(bundled_python))
         # Fallback: look in PATH
-        for candidate in ("python3.12", "python3", "python"):
+        for candidate in (f"python{version}", "python3", "python"):
             python = shutil.which(candidate)
             if python:
                 return _ensure_pip(python)
         raise RuntimeError(
             "Could not find a Python interpreter. "
-            "Please install Python 3.12 and try again."
+            f"Please install Python {version} and try again."
         )
 
     return _ensure_pip(sys.executable)
diff --git a/buzz/cuda_setup.py b/buzz/cuda_setup.py
index 248fa5a94b..08a9905f03 100644
--- a/buzz/cuda_setup.py
+++ b/buzz/cuda_setup.py
@@ -34,6 +34,43 @@ def _get_cuda_target_dir() -> Path | None:
     return None
 
 
+def _is_abi_compatible(cuda_target: Path) -> bool:
+    """Check that a torch in cuda_target was built for the running Python.
+
+    The CUDA packages are installed with a --target directory that survives app
+    upgrades. If Buzz later runs on a different Python version, the torch there
+    is built against the wrong C ABI and would shadow the bundled one, failing
+    the import with an undefined symbol error. Detect that and skip the dir.
+    """
+    torch_dir = cuda_target / "torch"
+    if not torch_dir.exists():
+        # Nothing that could shadow the bundled torch.
+        return True
+
+    ext_modules = list(torch_dir.glob("_C.cpython-*.so")) + list(
+        torch_dir.glob("_C.cp*-win*.pyd")
+    )
+    if not ext_modules:
+        # Can't tell (unexpected layout); leave the dir alone.
+        return True
+
+    expected = f"cpython-{sys.version_info.major}{sys.version_info.minor}"
+    expected_win = f"cp{sys.version_info.major}{sys.version_info.minor}"
+    for module in ext_modules:
+        if expected in module.name or expected_win in module.name:
+            return True
+
+    logger.warning(
+        "Ignoring CUDA packages in %s: torch there was built for a different "
+        "Python version (found %s, running %s). Reinstall CUDA support from "
+        "Help - About Buzz to use GPU acceleration.",
+        cuda_target,
+        ", ".join(sorted(m.name for m in ext_modules)),
+        expected,
+    )
+    return False
+
+
 def _get_site_packages_dirs() -> list[Path]:
     """Return all site-packages directories, including user site-packages."""
     site_packages_dirs = []
@@ -41,7 +78,7 @@ def _get_site_packages_dirs() -> list[Path]:
 
     # For snap/flatpak, packages are installed to an explicit --target directory
     cuda_target = _get_cuda_target_dir()
-    if cuda_target and cuda_target.exists():
+    if cuda_target and cuda_target.exists() and _is_abi_compatible(cuda_target):
         if str(cuda_target) not in sys.path:
             sys.path.insert(0, str(cuda_target))
         site_packages_dirs.append(cuda_target)
@@ -187,7 +224,11 @@ def _setup_linux_cuda():
 
     # Collect lib dirs from snap/flatpak cuda_packages OR regular site-packages
     cuda_target = _get_cuda_target_dir()
-    if cuda_target is not None and cuda_target.exists():
+    if (
+        cuda_target is not None
+        and cuda_target.exists()
+        and _is_abi_compatible(cuda_target)
+    ):
         extra_dirs = _collect_cuda_lib_dirs(cuda_target)
     else:
         extra_dirs = _collect_site_packages_cuda_lib_dirs()

From 4db628c74e8dd59bb7703f3836b9fdfa020dd6be Mon Sep 17 00:00:00 2001
From: Raivis Dejus <orvils@gmail.com>
Date: Sat, 5 Sep 2026 11:42:40 +0300
Subject: [PATCH 26/35] Version mismatch fix

---
 buzz/cuda_manager.py       | 111 +++++++++++++++++++++++++++++++-----
 buzz/cuda_setup.py         |   4 +-
 tests/cuda_manager_test.py | 112 +++++++++++++++++++++++++++++++++++++
 tests/cuda_setup_test.py   |  18 ++++++
 4 files changed, 229 insertions(+), 16 deletions(-)

diff --git a/buzz/cuda_manager.py b/buzz/cuda_manager.py
index 1d8d4960f7..1dd70cc19c 100644
--- a/buzz/cuda_manager.py
+++ b/buzz/cuda_manager.py
@@ -46,9 +46,19 @@
 ]
 
 
+# The name of Buzz's own snap, as declared in snap/snapcraft.yaml.
+SNAP_NAME = "buzz"
+
+
 def is_snap() -> bool:
-    """Returns True if running inside a Snap package."""
-    return "SNAP" in os.environ
+    """Returns True if running inside Buzz's own Snap package.
+
+    Testing for SNAP alone is not enough: any snap-packaged tool that launches
+    Buzz (e.g. a snap-installed uv used during development) exports SNAP* into
+    the environment, which would send this multi-gigabyte CUDA install into an
+    unrelated snap's user data.
+    """
+    return os.environ.get("SNAP_NAME") == SNAP_NAME
 
 
 def is_flatpak() -> bool:
@@ -118,6 +128,23 @@ def _in_virtualenv() -> bool:
     return sys.prefix != sys.base_prefix or "VIRTUAL_ENV" in os.environ
 
 
+def _get_target_dir() -> Path | None:
+    """Return the explicit --target directory for CUDA packages, or None.
+
+    Snap and Flatpak get a dedicated writable directory; everything else
+    installs into the venv or user site-packages and has no target dir.
+    """
+    if is_snap():
+        snap_user_data = os.environ.get("SNAP_USER_DATA")
+        if snap_user_data:
+            return Path(snap_user_data) / "cuda_packages"
+        return Path.home() / ".local" / "share" / "buzz" / "cuda_packages"
+    if is_flatpak():
+        xdg_data = os.environ.get("XDG_DATA_HOME", str(Path.home() / ".local" / "share"))
+        return Path(xdg_data) / "buzz" / "cuda_packages"
+    return None
+
+
 def _get_install_target() -> list[str]:
     """Return pip target flags for the current environment.
 
@@ -126,24 +153,72 @@ def _get_install_target() -> list[str]:
     In a virtualenv --user is forbidden; packages go into the venv directly.
     Otherwise we use --user so packages land in ~/.local.
     """
-    if is_snap():
-        snap_user_data = os.environ.get("SNAP_USER_DATA")
-        if snap_user_data:
-            target = str(Path(snap_user_data) / "cuda_packages")
-        else:
-            target = str(Path.home() / ".local" / "share" / "buzz" / "cuda_packages")
-        Path(target).mkdir(parents=True, exist_ok=True)
-        return ["--target", target]
-    if is_flatpak():
-        xdg_data = os.environ.get("XDG_DATA_HOME", str(Path.home() / ".local" / "share"))
-        target = str(Path(xdg_data) / "buzz" / "cuda_packages")
-        Path(target).mkdir(parents=True, exist_ok=True)
-        return ["--target", target]
+    target = _get_target_dir()
+    if target is not None:
+        target.mkdir(parents=True, exist_ok=True)
+        return ["--target", str(target)]
     if _in_virtualenv():
         return []
     return ["--user"]
 
 
+def _find_stale_cuda_dirs(target: Path) -> list[Path]:
+    """Return existing cuda_packages dirs that a fresh install should replace.
+
+    Includes the current target (a previous or half-finished install) and, under
+    Snap, the same directory in other revisions: snapd copies $SNAP_USER_DATA
+    forward on every refresh, so each revision keeps its own multi-gigabyte
+    copy, and one built for an older Python is unusable after an upgrade.
+    """
+    stale: list[Path] = []
+    if target.is_dir():
+        stale.append(target)
+
+    if is_snap():
+        snap_user_data = os.environ.get("SNAP_USER_DATA")
+        if snap_user_data:
+            revisions_root = Path(snap_user_data).parent
+            try:
+                revisions = sorted(revisions_root.iterdir())
+            except OSError as exc:
+                logger.warning("Could not list snap revisions in %s: %s", revisions_root, exc)
+                revisions = []
+            for revision in revisions:
+                # 'current' is a symlink to the active revision — skip it so we
+                # never delete the same directory twice via two names.
+                if revision.is_symlink() or not revision.is_dir():
+                    continue
+                candidate = revision / "cuda_packages"
+                if candidate != target and candidate.is_dir():
+                    stale.append(candidate)
+
+    return stale
+
+
+def _cleanup_old_cuda_packages(target: Path, report=None) -> None:
+    """Delete previously installed CUDA packages before a fresh install.
+
+    Installing over an existing directory leaves files from the old install
+    behind, which is how an ABI-incompatible torch survives a Python upgrade
+    and shadows the bundled one (see buzz/cuda_setup.py).
+    """
+    import shutil
+
+    for stale in _find_stale_cuda_dirs(target):
+        message = f"Removing previous CUDA packages in {stale}..."
+        logger.info(message)
+        if report:
+            report(message)
+        try:
+            shutil.rmtree(stale)
+        except OSError as exc:
+            # Not fatal: pip will overwrite what it can, and cuda_setup skips
+            # the directory if what remains is incompatible.
+            logger.warning("Could not remove %s: %s", stale, exc)
+            if report:
+                report(f"Warning: could not remove {stale}: {exc}")
+
+
 def install_cuda(progress_callback=None):
     """
     Install CUDA-enabled torch and nvidia libraries.
@@ -156,6 +231,12 @@ def report(msg):
         if progress_callback:
             progress_callback(msg)
 
+    target_dir = _get_target_dir()
+    if target_dir is not None:
+        # Only safe where we own the whole directory. A --user or venv install
+        # shares its site-packages with the rest of Buzz's dependencies.
+        _cleanup_old_cuda_packages(target_dir, report)
+
     target_flags = _get_install_target()
 
     nvidia_packages = CUDA_NVIDIA_PACKAGES_COMMON + (
diff --git a/buzz/cuda_setup.py b/buzz/cuda_setup.py
index 08a9905f03..d5a9050e2f 100644
--- a/buzz/cuda_setup.py
+++ b/buzz/cuda_setup.py
@@ -24,8 +24,10 @@
 
 def _get_cuda_target_dir() -> Path | None:
     """Return the --target directory used during CUDA install for snap/flatpak, or None."""
+    # Must match is_snap() in buzz/cuda_manager.py: only Buzz's own snap, not
+    # any snap-packaged tool that happens to have launched us.
     snap_user_data = os.environ.get("SNAP_USER_DATA")
-    if snap_user_data:
+    if snap_user_data and os.environ.get("SNAP_NAME") == "buzz":
         return Path(snap_user_data) / "cuda_packages"
     flatpak_id = os.environ.get("FLATPAK_ID")
     if flatpak_id:
diff --git a/tests/cuda_manager_test.py b/tests/cuda_manager_test.py
index deb596f488..490d120318 100644
--- a/tests/cuda_manager_test.py
+++ b/tests/cuda_manager_test.py
@@ -13,8 +13,11 @@
     is_nvidia_gpu_present,
     is_snap,
     should_offer_cuda_prompt,
+    _cleanup_old_cuda_packages,
+    _find_stale_cuda_dirs,
     _get_install_target,
     _get_pip_cmd,
+    _get_target_dir,
     _in_virtualenv,
     _pip_install,
     _subprocess_hide_window_kwargs,
@@ -25,13 +28,111 @@
 class TestIsSnap:
     def test_returns_true_when_snap_env_set(self, monkeypatch):
         monkeypatch.setenv("SNAP", "/snap/buzz/current")
+        monkeypatch.setenv("SNAP_NAME", "buzz")
         assert is_snap() is True
 
     def test_returns_false_when_snap_env_not_set(self, monkeypatch):
         monkeypatch.delenv("SNAP", raising=False)
+        monkeypatch.delenv("SNAP_NAME", raising=False)
         assert is_snap() is False
 
 
+    def test_returns_false_for_an_unrelated_snap(self, monkeypatch):
+        # A snap-packaged tool (e.g. snap-installed uv) launching Buzz exports
+        # SNAP*, but its user data is not ours to install into.
+        monkeypatch.setenv("SNAP", "/snap/astral-uv/1682")
+        monkeypatch.setenv("SNAP_NAME", "astral-uv")
+        assert is_snap() is False
+
+
+class TestFindStaleCudaDirs:
+    def test_includes_the_target_when_it_exists(self, tmp_path, monkeypatch):
+        monkeypatch.delenv("SNAP", raising=False)
+        monkeypatch.delenv("SNAP_NAME", raising=False)
+        target = tmp_path / "cuda_packages"
+        target.mkdir()
+        assert _find_stale_cuda_dirs(target) == [target]
+
+    def test_empty_when_nothing_installed(self, tmp_path, monkeypatch):
+        monkeypatch.delenv("SNAP", raising=False)
+        monkeypatch.delenv("SNAP_NAME", raising=False)
+        assert _find_stale_cuda_dirs(tmp_path / "cuda_packages") == []
+
+    def test_includes_other_snap_revisions(self, tmp_path, monkeypatch):
+        monkeypatch.setenv("SNAP", "/snap/buzz/current")
+        monkeypatch.setenv("SNAP_NAME", "buzz")
+        current = tmp_path / "1682"
+        old = tmp_path / "1662"
+        for revision in (current, old):
+            (revision / "cuda_packages").mkdir(parents=True)
+        monkeypatch.setenv("SNAP_USER_DATA", str(current))
+
+        stale = _find_stale_cuda_dirs(current / "cuda_packages")
+
+        assert set(stale) == {current / "cuda_packages", old / "cuda_packages"}
+
+    def test_skips_the_current_symlink(self, tmp_path, monkeypatch):
+        # ~/snap/<name>/current symlinks to the active revision; following it
+        # would list the same directory twice under two names.
+        monkeypatch.setenv("SNAP", "/snap/buzz/current")
+        monkeypatch.setenv("SNAP_NAME", "buzz")
+        revision = tmp_path / "1682"
+        (revision / "cuda_packages").mkdir(parents=True)
+        (tmp_path / "current").symlink_to(revision)
+        monkeypatch.setenv("SNAP_USER_DATA", str(revision))
+
+        assert _find_stale_cuda_dirs(revision / "cuda_packages") == [
+            revision / "cuda_packages"
+        ]
+
+
+class TestCleanupOldCudaPackages:
+    def test_removes_stale_directory(self, tmp_path, monkeypatch):
+        monkeypatch.delenv("SNAP", raising=False)
+        monkeypatch.delenv("SNAP_NAME", raising=False)
+        target = tmp_path / "cuda_packages"
+        (target / "torch").mkdir(parents=True)
+
+        _cleanup_old_cuda_packages(target)
+
+        assert not target.exists()
+
+    def test_reports_progress(self, tmp_path, monkeypatch):
+        monkeypatch.delenv("SNAP", raising=False)
+        monkeypatch.delenv("SNAP_NAME", raising=False)
+        target = tmp_path / "cuda_packages"
+        target.mkdir()
+        messages = []
+
+        _cleanup_old_cuda_packages(target, messages.append)
+
+        assert any("Removing previous CUDA packages" in m for m in messages)
+
+    def test_survives_removal_failure(self, tmp_path, monkeypatch):
+        monkeypatch.delenv("SNAP", raising=False)
+        monkeypatch.delenv("SNAP_NAME", raising=False)
+        target = tmp_path / "cuda_packages"
+        target.mkdir()
+
+        with patch("shutil.rmtree", side_effect=OSError("permission denied")):
+            _cleanup_old_cuda_packages(target)  # must not raise
+
+    def test_install_cleans_before_installing(self, tmp_path, monkeypatch):
+        monkeypatch.delenv("SNAP", raising=False)
+        monkeypatch.delenv("SNAP_NAME", raising=False)
+        monkeypatch.setenv("FLATPAK_ID", "io.github.chidiwilliams.buzz")
+        monkeypatch.setenv("XDG_DATA_HOME", str(tmp_path))
+        stale_marker = tmp_path / "buzz" / "cuda_packages" / "torch" / "stale.txt"
+        stale_marker.parent.mkdir(parents=True)
+        stale_marker.write_text("old install")
+
+        with patch("buzz.cuda_manager._pip_install") as pip_install:
+            install_cuda()
+
+        assert not stale_marker.exists()
+        assert pip_install.called
+
+
 class TestIsFlatpak:
     def test_returns_true_when_flatpak_env_set(self, monkeypatch):
         monkeypatch.setenv("FLATPAK_ID", "io.github.chidiwilliams.buzz")
@@ -50,18 +151,21 @@ def test_returns_true_on_windows(self, monkeypatch):
     def test_returns_true_on_linux_snap(self, monkeypatch):
         monkeypatch.setattr(sys, "platform", "linux")
         monkeypatch.setenv("SNAP", "/snap/buzz/current")
+        monkeypatch.setenv("SNAP_NAME", "buzz")
         monkeypatch.delenv("FLATPAK_ID", raising=False)
         assert should_offer_cuda_prompt() is True
 
     def test_returns_true_on_linux_flatpak(self, monkeypatch):
         monkeypatch.setattr(sys, "platform", "linux")
         monkeypatch.delenv("SNAP", raising=False)
+        monkeypatch.delenv("SNAP_NAME", raising=False)
         monkeypatch.setenv("FLATPAK_ID", "io.github.chidiwilliams.buzz")
         assert should_offer_cuda_prompt() is True
 
     def test_returns_false_on_linux_bare(self, monkeypatch):
         monkeypatch.setattr(sys, "platform", "linux")
         monkeypatch.delenv("SNAP", raising=False)
+        monkeypatch.delenv("SNAP_NAME", raising=False)
         monkeypatch.delenv("FLATPAK_ID", raising=False)
         assert should_offer_cuda_prompt() is False
 
@@ -148,6 +252,7 @@ class TestGetInstallTarget:
     def test_snap_uses_snap_user_data(self, monkeypatch, tmp_path):
         snap_dir = tmp_path / "snap_data"
         monkeypatch.setenv("SNAP", "/snap/buzz/current")
+        monkeypatch.setenv("SNAP_NAME", "buzz")
         monkeypatch.setenv("SNAP_USER_DATA", str(snap_dir))
         monkeypatch.delenv("FLATPAK_ID", raising=False)
         flags = _get_install_target()
@@ -157,6 +262,7 @@ def test_snap_uses_snap_user_data(self, monkeypatch, tmp_path):
 
     def test_snap_falls_back_to_home_when_no_snap_user_data(self, monkeypatch):
         monkeypatch.setenv("SNAP", "/snap/buzz/current")
+        monkeypatch.setenv("SNAP_NAME", "buzz")
         monkeypatch.delenv("SNAP_USER_DATA", raising=False)
         monkeypatch.delenv("FLATPAK_ID", raising=False)
         with patch("pathlib.Path.mkdir"):
@@ -166,6 +272,7 @@ def test_snap_falls_back_to_home_when_no_snap_user_data(self, monkeypatch):
 
     def test_flatpak_uses_xdg_data_home(self, monkeypatch, tmp_path):
         monkeypatch.delenv("SNAP", raising=False)
+        monkeypatch.delenv("SNAP_NAME", raising=False)
         monkeypatch.setenv("FLATPAK_ID", "io.github.chidiwilliams.buzz")
         monkeypatch.setenv("XDG_DATA_HOME", str(tmp_path))
         with patch("pathlib.Path.mkdir"):
@@ -176,12 +283,14 @@ def test_flatpak_uses_xdg_data_home(self, monkeypatch, tmp_path):
 
     def test_virtualenv_returns_empty(self, monkeypatch):
         monkeypatch.delenv("SNAP", raising=False)
+        monkeypatch.delenv("SNAP_NAME", raising=False)
         monkeypatch.delenv("FLATPAK_ID", raising=False)
         monkeypatch.setenv("VIRTUAL_ENV", "/some/venv")
         assert _get_install_target() == []
 
     def test_bare_returns_user_flag(self, monkeypatch):
         monkeypatch.delenv("SNAP", raising=False)
+        monkeypatch.delenv("SNAP_NAME", raising=False)
         monkeypatch.delenv("FLATPAK_ID", raising=False)
         monkeypatch.delenv("VIRTUAL_ENV", raising=False)
         with patch.object(sys, "prefix", sys.base_prefix):
@@ -277,6 +386,7 @@ def test_calls_progress_callback(self):
 class TestInstallCuda:
     def test_calls_pip_install_twice(self, monkeypatch):
         monkeypatch.delenv("SNAP", raising=False)
+        monkeypatch.delenv("SNAP_NAME", raising=False)
         monkeypatch.delenv("FLATPAK_ID", raising=False)
         monkeypatch.setenv("VIRTUAL_ENV", "/some/venv")
 
@@ -287,6 +397,7 @@ def test_calls_pip_install_twice(self, monkeypatch):
 
     def test_passes_progress_callback(self, monkeypatch):
         monkeypatch.delenv("SNAP", raising=False)
+        monkeypatch.delenv("SNAP_NAME", raising=False)
         monkeypatch.delenv("FLATPAK_ID", raising=False)
         monkeypatch.setenv("VIRTUAL_ENV", "/some/venv")
 
@@ -300,6 +411,7 @@ def test_passes_progress_callback(self, monkeypatch):
     def test_linux_excludes_linux_only_packages_on_windows(self, monkeypatch):
         monkeypatch.setattr(sys, "platform", "win32")
         monkeypatch.delenv("SNAP", raising=False)
+        monkeypatch.delenv("SNAP_NAME", raising=False)
         monkeypatch.delenv("FLATPAK_ID", raising=False)
 
         captured = []
diff --git a/tests/cuda_setup_test.py b/tests/cuda_setup_test.py
index 2eb4f47ac5..87470ca62c 100644
--- a/tests/cuda_setup_test.py
+++ b/tests/cuda_setup_test.py
@@ -5,13 +5,24 @@
 class TestGetCudaTargetDir:
     def test_returns_snap_path(self, monkeypatch, tmp_path):
         monkeypatch.setenv("SNAP_USER_DATA", str(tmp_path))
+        monkeypatch.setenv("SNAP_NAME", "buzz")
         monkeypatch.delenv("FLATPAK_ID", raising=False)
         from buzz.cuda_setup import _get_cuda_target_dir
         result = _get_cuda_target_dir()
         assert result == tmp_path / "cuda_packages"
 
+    def test_ignores_an_unrelated_snap(self, monkeypatch, tmp_path):
+        # A snap-packaged tool launching Buzz exports SNAP_USER_DATA pointing at
+        # its own directory; must agree with is_snap() in buzz/cuda_manager.py.
+        monkeypatch.setenv("SNAP_USER_DATA", str(tmp_path))
+        monkeypatch.setenv("SNAP_NAME", "astral-uv")
+        monkeypatch.delenv("FLATPAK_ID", raising=False)
+        from buzz.cuda_setup import _get_cuda_target_dir
+        assert _get_cuda_target_dir() is None
+
     def test_returns_flatpak_path(self, monkeypatch, tmp_path):
         monkeypatch.delenv("SNAP_USER_DATA", raising=False)
+        monkeypatch.delenv("SNAP_NAME", raising=False)
         monkeypatch.setenv("FLATPAK_ID", "io.github.chidiwilliams.buzz")
         monkeypatch.setenv("XDG_DATA_HOME", str(tmp_path))
         from buzz.cuda_setup import _get_cuda_target_dir
@@ -20,6 +31,7 @@ def test_returns_flatpak_path(self, monkeypatch, tmp_path):
 
     def test_returns_none_when_no_env(self, monkeypatch):
         monkeypatch.delenv("SNAP_USER_DATA", raising=False)
+        monkeypatch.delenv("SNAP_NAME", raising=False)
         monkeypatch.delenv("FLATPAK_ID", raising=False)
         from buzz.cuda_setup import _get_cuda_target_dir
         result = _get_cuda_target_dir()
@@ -27,6 +39,7 @@ def test_returns_none_when_no_env(self, monkeypatch):
 
     def test_flatpak_falls_back_to_home(self, monkeypatch):
         monkeypatch.delenv("SNAP_USER_DATA", raising=False)
+        monkeypatch.delenv("SNAP_NAME", raising=False)
         monkeypatch.setenv("FLATPAK_ID", "io.github.chidiwilliams.buzz")
         monkeypatch.delenv("XDG_DATA_HOME", raising=False)
         from buzz.cuda_setup import _get_cuda_target_dir
@@ -40,6 +53,7 @@ def test_adds_cuda_target_to_sys_path(self, monkeypatch, tmp_path):
         cuda_target = tmp_path / "cuda_packages"
         cuda_target.mkdir()
         monkeypatch.setenv("SNAP_USER_DATA", str(tmp_path))
+        monkeypatch.setenv("SNAP_NAME", "buzz")
         monkeypatch.delenv("FLATPAK_ID", raising=False)
 
         from buzz.cuda_setup import _get_site_packages_dirs
@@ -50,6 +64,7 @@ def test_adds_cuda_target_to_sys_path(self, monkeypatch, tmp_path):
 
     def test_returns_list_including_existing_site_packages(self, monkeypatch):
         monkeypatch.delenv("SNAP_USER_DATA", raising=False)
+        monkeypatch.delenv("SNAP_NAME", raising=False)
         monkeypatch.delenv("FLATPAK_ID", raising=False)
 
         from buzz.cuda_setup import _get_site_packages_dirs
@@ -87,6 +102,7 @@ def test_finds_nvidia_lib_dirs(self, monkeypatch, tmp_path):
         nvidia_lib.mkdir(parents=True)
 
         monkeypatch.delenv("SNAP_USER_DATA", raising=False)
+        monkeypatch.delenv("SNAP_NAME", raising=False)
         monkeypatch.delenv("FLATPAK_ID", raising=False)
 
         with patch("buzz.cuda_setup._get_site_packages_dirs", return_value=[sp]):
@@ -101,6 +117,7 @@ def test_finds_torch_lib_dir(self, monkeypatch, tmp_path):
         torch_lib.mkdir(parents=True)
 
         monkeypatch.delenv("SNAP_USER_DATA", raising=False)
+        monkeypatch.delenv("SNAP_NAME", raising=False)
         monkeypatch.delenv("FLATPAK_ID", raising=False)
 
         with patch("buzz.cuda_setup._get_site_packages_dirs", return_value=[sp]):
@@ -113,6 +130,7 @@ def test_finds_torch_lib_dir(self, monkeypatch, tmp_path):
 class TestSetupLinuxCuda:
     def test_skips_when_no_cuda_target(self, monkeypatch):
         monkeypatch.delenv("SNAP_USER_DATA", raising=False)
+        monkeypatch.delenv("SNAP_NAME", raising=False)
         monkeypatch.delenv("FLATPAK_ID", raising=False)
         monkeypatch.delenv("BUZZ_CUDA_SETUP_DONE", raising=False)
 

From b13597bcc0c4dfe05c9b44c6c6b7f95bece88da6 Mon Sep 17 00:00:00 2001
From: Raivis Dejus <orvils@gmail.com>
Date: Sat, 12 Sep 2026 11:11:23 +0300
Subject: [PATCH 27/35] Adding note on CUDA installation to the Readme

---
 README.md                 | 4 ++++
 docs/docs/faq.md          | 2 ++
 docs/docs/installation.md | 5 +++++
 3 files changed, 11 insertions(+)

diff --git a/README.md b/README.md
index 7a2a022250..4f1c420cb5 100644
--- a/README.md
+++ b/README.md
@@ -93,6 +93,10 @@ pip3 install nvidia-cublas-cu12==12.9.1.4 nvidia-cuda-cupti-cu12==12.9.79 nvidia
 
 For info on how to get latest development version with latest features and bug fixes see [FAQ](https://chidiwilliams.github.io/buzz/docs/faq#9-where-can-i-get-latest-development-version).
 
+### Nvidia CUDA GPU acceleration
+
+If you are on Buzz version `1.4.6` or later and have a Nvidia GPU, go to `Help -> About Buzz` and install CUDA Acceleration.
+
 ### Support Buzz
 
 You can help the Buzz by starring 🌟 the repo and sharing it with your friends.
diff --git a/docs/docs/faq.md b/docs/docs/faq.md
index 906d3e4bdd..d85745b04d 100644
--- a/docs/docs/faq.md
+++ b/docs/docs/faq.md
@@ -19,6 +19,8 @@ Speech recognition requires large amount of computation, so one option is to try
 
 Buzz also supports using OpenAI API to do speech recognition on a remote server. To use this feature you need to set OpenAI API key in Preferences. See [Preferences](https://chidiwilliams.github.io/buzz/docs/preferences) section for more details.
 
+If you are on Buzz version `1.4.6` or later and have a Nvidia GPU, go to `Help -> About Buzz` and install CUDA Acceleration.
+
 ### 3. How to record system audio?
 
 To transcribe system audio you need to configure virtual audio device and connect output from the applications you want to transcribe to this virtual speaker. After that you can select it as source in the Buzz. See [Usage](https://chidiwilliams.github.io/buzz/docs/usage/live_recording) section for more details.
diff --git a/docs/docs/installation.md b/docs/docs/installation.md
index 9174d9d3ef..eea6dea06e 100644
--- a/docs/docs/installation.md
+++ b/docs/docs/installation.md
@@ -51,3 +51,8 @@ On Linux install system dependencies you may be missing
 sudo apt-get install --no-install-recommends libyaml-dev libtbb-dev libxkbcommon-x11-0 libxcb-icccm4 libxcb-image0 libxcb-keysyms1 libxcb-randr0 libxcb-render-util0 libxcb-xinerama0 libxcb-shape0 libxcb-cursor0 libportaudio2 gettext libpulse0 ffmpeg
 ```
 On versions prior to Ubuntu 24.04 install `sudo apt-get install --no-install-recommends libegl1-mesa`
+
+
+## CUDA GPU Acceleration
+
+Since version `1.4.6` Nvidia CUDA GPU acceleration is no longer included in base package of the buzz and has to be installed separately on Linux and Windows. You will get a prompt to do so if Nvidia GPU is detected, but you can also install CUDA support manually by going to `Help -> About Buzz -> Install CUDA Acceleration`. CUDA is not needed for `whisper.cpp` and if you do not have Nvidia GPU.

From 3b0e2324184437c220d47f8349539c6d47dc44f6 Mon Sep 17 00:00:00 2001
From: Raivis Dejus <orvils@gmail.com>
Date: Sat, 12 Sep 2026 16:24:40 +0300
Subject: [PATCH 28/35] Will install cuda in venv

---
 buzz/cuda_manager.py       | 287 ++++++++++++++++++++------------
 buzz/cuda_setup.py         |  34 ++--
 buzz/pip_utils.py          |  11 +-
 snap/snapcraft.yaml        |   2 +-
 tests/cuda_manager_test.py | 331 ++++++++++++++++++++++---------------
 tests/cuda_setup_test.py   |  58 +++++--
 6 files changed, 448 insertions(+), 275 deletions(-)

diff --git a/buzz/cuda_manager.py b/buzz/cuda_manager.py
index 1dd70cc19c..aa2cf9c324 100644
--- a/buzz/cuda_manager.py
+++ b/buzz/cuda_manager.py
@@ -4,6 +4,7 @@
 
 import logging
 import os
+import shutil
 import subprocess
 import sys
 from pathlib import Path
@@ -49,6 +50,13 @@
 # The name of Buzz's own snap, as declared in snap/snapcraft.yaml.
 SNAP_NAME = "buzz"
 
+# Name of the private virtual environment holding the CUDA packages.
+CUDA_ENV_DIR_NAME = "cuda_env"
+
+# Name used before the switch to a private venv. Still cleaned up so an
+# upgrade does not leave several gigabytes of orphaned wheels behind.
+LEGACY_CUDA_DIR_NAME = "cuda_packages"
+
 
 def is_snap() -> bool:
     """Returns True if running inside Buzz's own Snap package.
@@ -123,56 +131,62 @@ def is_nvidia_gpu_present() -> bool:
     return Path("/proc/driver/nvidia/version").exists()
 
 
-def _in_virtualenv() -> bool:
-    """Returns True if running inside a virtualenv or uv venv."""
-    return sys.prefix != sys.base_prefix or "VIRTUAL_ENV" in os.environ
-
-
-def _get_target_dir() -> Path | None:
-    """Return the explicit --target directory for CUDA packages, or None.
+def get_cuda_root_dir() -> Path:
+    """Return the writable Buzz-owned directory that holds the CUDA install.
 
-    Snap and Flatpak get a dedicated writable directory; everything else
-    installs into the venv or user site-packages and has no target dir.
+    Snap and Flatpak have their own per-sandbox data directories. Everywhere
+    else this is Buzz's platform data directory (on Windows a subdirectory of
+    %LOCALAPPDATA%\\Buzz, which the uninstaller offers to delete), so the
+    multi-gigabyte CUDA install never lands in a shared site-packages and goes
+    away with the app.
     """
     if is_snap():
         snap_user_data = os.environ.get("SNAP_USER_DATA")
         if snap_user_data:
-            return Path(snap_user_data) / "cuda_packages"
-        return Path.home() / ".local" / "share" / "buzz" / "cuda_packages"
+            return Path(snap_user_data)
+        return Path.home() / ".local" / "share" / "buzz"
     if is_flatpak():
         xdg_data = os.environ.get("XDG_DATA_HOME", str(Path.home() / ".local" / "share"))
-        return Path(xdg_data) / "buzz" / "cuda_packages"
-    return None
+        return Path(xdg_data) / "buzz"
+
+    from platformdirs import user_data_dir
+
+    return Path(user_data_dir("Buzz"))
 
 
-def _get_install_target() -> list[str]:
-    """Return pip target flags for the current environment.
+def get_cuda_env_dir() -> Path:
+    """Return the path of the private virtualenv holding the CUDA packages."""
+    return get_cuda_root_dir() / CUDA_ENV_DIR_NAME
 
-    In Snap/Flatpak the Python interpreter's user-site is disabled or points to
-    the read-only bundle, so we use --target with an explicit writable path.
-    In a virtualenv --user is forbidden; packages go into the venv directly.
-    Otherwise we use --user so packages land in ~/.local.
+
+def get_cuda_env_site_packages(env_dir: Path | None = None) -> Path | None:
+    """Return the site-packages directory inside the CUDA venv, if it exists.
+
+    The Linux layout embeds the Python version (lib/python3.13/site-packages),
+    so it is globbed rather than derived: after a Buzz upgrade to a different
+    Python the directory is still found, and the ABI check in buzz/cuda_setup.py
+    is what decides whether it may be used.
     """
-    target = _get_target_dir()
-    if target is not None:
-        target.mkdir(parents=True, exist_ok=True)
-        return ["--target", str(target)]
-    if _in_virtualenv():
-        return []
-    return ["--user"]
-
-
-def _find_stale_cuda_dirs(target: Path) -> list[Path]:
-    """Return existing cuda_packages dirs that a fresh install should replace.
-
-    Includes the current target (a previous or half-finished install) and, under
-    Snap, the same directory in other revisions: snapd copies $SNAP_USER_DATA
-    forward on every refresh, so each revision keeps its own multi-gigabyte
-    copy, and one built for an older Python is unusable after an upgrade.
+    env_dir = env_dir if env_dir is not None else get_cuda_env_dir()
+
+    if sys.platform == "win32":
+        site_packages = env_dir / "Lib" / "site-packages"
+        return site_packages if site_packages.is_dir() else None
+
+    candidates = sorted(env_dir.glob("lib/python3.*/site-packages"))
+    return candidates[-1] if candidates else None
+
+
+def _find_stale_cuda_dirs(env_dir: Path) -> list[Path]:
+    """Return existing CUDA install dirs that a fresh install should replace.
+
+    Includes the current env (a previous or half-finished install), the legacy
+    --target directory it replaced, and, under Snap, the same directories in
+    other revisions: snapd copies $SNAP_USER_DATA forward on every refresh, so
+    each revision keeps its own multi-gigabyte copy, and one built for an older
+    Python is unusable after an upgrade.
     """
-    stale: list[Path] = []
-    if target.is_dir():
-        stale.append(target)
+    roots = [env_dir.parent]
 
     if is_snap():
         snap_user_data = os.environ.get("SNAP_USER_DATA")
@@ -188,23 +202,26 @@ def _find_stale_cuda_dirs(target: Path) -> list[Path]:
                 # never delete the same directory twice via two names.
                 if revision.is_symlink() or not revision.is_dir():
                     continue
-                candidate = revision / "cuda_packages"
-                if candidate != target and candidate.is_dir():
-                    stale.append(candidate)
+                if revision not in roots:
+                    roots.append(revision)
 
+    stale: list[Path] = []
+    for root in roots:
+        for name in (CUDA_ENV_DIR_NAME, LEGACY_CUDA_DIR_NAME):
+            candidate = root / name
+            if candidate.is_dir() and candidate not in stale:
+                stale.append(candidate)
     return stale
 
 
-def _cleanup_old_cuda_packages(target: Path, report=None) -> None:
+def _cleanup_old_cuda_packages(env_dir: Path, report=None) -> None:
     """Delete previously installed CUDA packages before a fresh install.
 
-    Installing over an existing directory leaves files from the old install
+    Installing over an existing environment leaves files from the old install
     behind, which is how an ABI-incompatible torch survives a Python upgrade
     and shadows the bundled one (see buzz/cuda_setup.py).
     """
-    import shutil
-
-    for stale in _find_stale_cuda_dirs(target):
+    for stale in _find_stale_cuda_dirs(env_dir):
         message = f"Removing previous CUDA packages in {stale}..."
         logger.info(message)
         if report:
@@ -212,8 +229,8 @@ def _cleanup_old_cuda_packages(target: Path, report=None) -> None:
         try:
             shutil.rmtree(stale)
         except OSError as exc:
-            # Not fatal: pip will overwrite what it can, and cuda_setup skips
-            # the directory if what remains is incompatible.
+            # Not fatal: the install below recreates what it can, and cuda_setup
+            # skips the directory if what remains is incompatible.
             logger.warning("Could not remove %s: %s", stale, exc)
             if report:
                 report(f"Warning: could not remove {stale}: {exc}")
@@ -221,7 +238,11 @@ def _cleanup_old_cuda_packages(target: Path, report=None) -> None:
 
 def install_cuda(progress_callback=None):
     """
-    Install CUDA-enabled torch and nvidia libraries.
+    Install CUDA-enabled torch and nvidia libraries into a private venv.
+
+    Nothing is written to the user's global or user site-packages: everything
+    lands in get_cuda_env_dir(), which Buzz puts on sys.path at startup and
+    removes when GPU support is reinstalled.
 
     Args:
         progress_callback: Optional callable(str) called with status messages.
@@ -231,89 +252,144 @@ def report(msg):
         if progress_callback:
             progress_callback(msg)
 
-    target_dir = _get_target_dir()
-    if target_dir is not None:
-        # Only safe where we own the whole directory. A --user or venv install
-        # shares its site-packages with the rest of Buzz's dependencies.
-        _cleanup_old_cuda_packages(target_dir, report)
+    env_dir = get_cuda_env_dir()
+    _cleanup_old_cuda_packages(env_dir, report)
 
-    target_flags = _get_install_target()
+    report(f"Creating environment for CUDA packages in {env_dir}...")
+    install_cmd = _create_cuda_env(env_dir, progress_callback=report)
 
     nvidia_packages = CUDA_NVIDIA_PACKAGES_COMMON + (
         CUDA_NVIDIA_PACKAGES_LINUX if sys.platform != "win32" else []
     )
     report("Installing NVIDIA CUDA libraries...")
-    _pip_install(
+    _run_install(
+        install_cmd,
         nvidia_packages,
-        extra_args=["--index-url", CUDA_INDEX_URL] + target_flags,
+        extra_args=["--index-url", CUDA_INDEX_URL],
         progress_callback=report,
     )
 
     report("Installing CUDA-enabled PyTorch...")
-    _pip_install(
+    _run_install(
+        install_cmd,
         CUDA_TORCH_PACKAGES,
-        extra_args=["--index-url", CUDA_INDEX_URL, "--no-deps"] + target_flags,
+        extra_args=["--index-url", CUDA_INDEX_URL, "--no-deps"],
         progress_callback=report,
     )
 
     report("CUDA installation complete. Please restart Buzz to enable GPU acceleration.")
 
 
-def _ensure_pip(python: str) -> list[str]:
-    """Return [python, '-m', 'pip'], bootstrapping pip via ensurepip if needed."""
-    hide_kwargs = _subprocess_hide_window_kwargs()
-    pip_cmd = [python, "-m", "pip"]
-    probe = subprocess.run(pip_cmd + ["--version"], capture_output=True, timeout=15, **hide_kwargs)
-    if probe.returncode == 0:
-        return pip_cmd
-    logger.info("pip not found for %s, bootstrapping via ensurepip...", python)
-    bootstrap = subprocess.run(
-        [python, "-m", "ensurepip", "--upgrade"],
-        capture_output=True, timeout=60, **hide_kwargs,
-    )
-    if bootstrap.returncode != 0:
-        raise RuntimeError(
-            f"pip is not available for {python} and ensurepip failed. "
-            "Please install pip manually and try again."
-        )
-    return pip_cmd
-
-
-def _get_pip_cmd() -> list[str]:
-    """Return a [python, '-m', 'pip'] command that is guaranteed to work.
+def _get_base_python() -> str:
+    """Return a real Python interpreter that can create the CUDA venv.
 
-    Handles three environments:
-    - PyInstaller frozen bundle: sys.executable is the app binary; find a real
-      Python interpreter in PATH instead.
-    - Normal Python without pip (uv venv, minimal snap/flatpak image): bootstrap
-      pip via ensurepip, then retry.
-    - Normal Python with pip: use sys.executable directly.
+    In a frozen PyInstaller bundle sys.executable is the app binary and cannot
+    run -m venv, so the interpreter shipped alongside the app is used instead.
+    Its version always matches the one Buzz was frozen with, which matters
+    because the CUDA wheels are ABI-specific.
     """
-    import shutil
-
-    # Frozen PyInstaller bundle — sys.executable can't run -m pip.
-    # Use the bundled interpreter shipped alongside the app. Its version always
-    # matches the one Buzz was frozen with, so derive it rather than hardcoding:
-    # the CUDA wheels are ABI-specific and a mismatch installs unusable packages.
-    version = f"{sys.version_info.major}.{sys.version_info.minor}"
     if getattr(sys, "frozen", False):
         # PyInstaller extracts bundled data to sys._MEIPASS (_internal dir)
         internal_dir = Path(getattr(sys, "_MEIPASS", Path(sys.executable).parent))
         python_name = "python.exe" if sys.platform == "win32" else "python3"
         bundled_python = internal_dir / "python" / python_name
         if bundled_python.is_file():
-            return _ensure_pip(str(bundled_python))
+            return str(bundled_python)
         # Fallback: look in PATH
+        version = f"{sys.version_info.major}.{sys.version_info.minor}"
         for candidate in (f"python{version}", "python3", "python"):
             python = shutil.which(candidate)
             if python:
-                return _ensure_pip(python)
+                return python
         raise RuntimeError(
             "Could not find a Python interpreter. "
             f"Please install Python {version} and try again."
         )
 
-    return _ensure_pip(sys.executable)
+    # Inside a venv, base_executable is the interpreter the venv was built from;
+    # deriving the new venv from it avoids chaining venvs.
+    return getattr(sys, "_base_executable", None) or sys.executable
+
+
+def _find_uv() -> str | None:
+    """Return the path of a usable uv binary, or None.
+
+    The snap ships uv (stage-snaps in snap/snapcraft.yaml) and its Python has
+    neither pip nor ensurepip, so uv is the only way to create the venv there.
+    """
+    candidates = []
+    snap_dir = os.environ.get("SNAP")
+    if snap_dir:
+        candidates.append(str(Path(snap_dir) / "bin" / "uv"))
+    found = shutil.which("uv")
+    if found:
+        candidates.append(found)
+
+    for candidate in candidates:
+        try:
+            probe = subprocess.run(
+                [candidate, "--version"],
+                capture_output=True,
+                timeout=15,
+                **_subprocess_hide_window_kwargs(),
+            )
+        except (OSError, subprocess.SubprocessError):
+            continue
+        if probe.returncode == 0:
+            return candidate
+    return None
+
+
+def _venv_python(env_dir: Path) -> Path:
+    """Return the interpreter path inside a venv."""
+    if sys.platform == "win32":
+        return env_dir / "Scripts" / "python.exe"
+    return env_dir / "bin" / "python"
+
+
+def _create_cuda_env(env_dir: Path, progress_callback=None) -> list[str]:
+    """Create the private CUDA venv and return the install command prefix.
+
+    Two ways in, because no single one works everywhere:
+    - uv, when available (the snap's Python has no pip and ensurepip is pruned
+      from the snap payload, so `-m venv` cannot bootstrap one there).
+    - the stdlib venv module, which bootstraps pip into the new environment.
+      The bundled Windows interpreter ships the full stdlib, so this works even
+      though the app directory under Program Files is not writable.
+    """
+    env_dir.parent.mkdir(parents=True, exist_ok=True)
+    python = _get_base_python()
+    hide_kwargs = _subprocess_hide_window_kwargs()
+
+    uv = _find_uv()
+    if uv:
+        logger.info("Creating CUDA venv with uv (%s) from %s", uv, python)
+        _run_command(
+            [uv, "venv", "--python", python, str(env_dir)],
+            progress_callback=progress_callback,
+            error_message="Could not create the environment for CUDA packages",
+        )
+        # --no-cache: the wheels are several gigabytes and are never reused,
+        # so a second copy in the uv cache is pure waste.
+        return [
+            uv, "pip", "install", "--no-cache",
+            "--python", str(_venv_python(env_dir)),
+        ]
+
+    logger.info("Creating CUDA venv with %s -m venv", python)
+    result = subprocess.run(
+        [python, "-m", "venv", str(env_dir)],
+        capture_output=True,
+        text=True,
+        timeout=300,
+        **hide_kwargs,
+    )
+    if result.returncode != 0:
+        raise RuntimeError(
+            "Could not create the environment for CUDA packages in "
+            f"{env_dir}: {(result.stderr or result.stdout or '').strip()}"
+        )
+    return [str(_venv_python(env_dir)), "-m", "pip", "install", "--no-cache-dir"]
 
 
 def _subprocess_hide_window_kwargs() -> dict[str, Any]:
@@ -326,11 +402,8 @@ def _subprocess_hide_window_kwargs() -> dict[str, Any]:
     return {}
 
 
-def _pip_install(packages, extra_args=None, progress_callback=None):
-    cmd = _get_pip_cmd() + ["install", "--break-system-packages"] + packages
-    if extra_args:
-        cmd += extra_args
-
+def _run_command(cmd, progress_callback=None, error_message="Command failed"):
+    """Run a command, streaming its output to progress_callback."""
     process = subprocess.Popen(
         cmd,
         stdout=subprocess.PIPE,
@@ -345,4 +418,12 @@ def _pip_install(packages, extra_args=None, progress_callback=None):
 
     process.wait()
     if process.returncode != 0:
-        raise RuntimeError(f"pip install failed with exit code {process.returncode}")
+        raise RuntimeError(f"{error_message} (exit code {process.returncode})")
+
+
+def _run_install(install_cmd, packages, extra_args=None, progress_callback=None):
+    cmd = list(install_cmd) + list(packages)
+    if extra_args:
+        cmd += extra_args
+
+    _run_command(cmd, progress_callback=progress_callback, error_message="pip install failed")
diff --git a/buzz/cuda_setup.py b/buzz/cuda_setup.py
index d5a9050e2f..3115766170 100644
--- a/buzz/cuda_setup.py
+++ b/buzz/cuda_setup.py
@@ -6,7 +6,7 @@
 pip packages.
 
 On Windows: Uses os.add_dll_directory() to add library paths
-On Linux: Re-execs the process with LD_LIBRARY_PATH set when cuda_packages are present,
+On Linux: Re-execs the process with LD_LIBRARY_PATH set when a CUDA venv is present,
           then preloads libraries with RTLD_GLOBAL for any remaining gaps.
 On macOS: No action needed (CUDA not supported)
 """
@@ -23,23 +23,25 @@
 
 
 def _get_cuda_target_dir() -> Path | None:
-    """Return the --target directory used during CUDA install for snap/flatpak, or None."""
-    # Must match is_snap() in buzz/cuda_manager.py: only Buzz's own snap, not
-    # any snap-packaged tool that happens to have launched us.
-    snap_user_data = os.environ.get("SNAP_USER_DATA")
-    if snap_user_data and os.environ.get("SNAP_NAME") == "buzz":
-        return Path(snap_user_data) / "cuda_packages"
-    flatpak_id = os.environ.get("FLATPAK_ID")
-    if flatpak_id:
-        xdg_data = os.environ.get("XDG_DATA_HOME", str(Path.home() / ".local" / "share"))
-        return Path(xdg_data) / "buzz" / "cuda_packages"
-    return None
+    """Return the site-packages of the CUDA venv installed by cuda_manager.
+
+    Returns None when GPU support has never been installed. The lookup lives in
+    buzz/cuda_manager.py so the installer and the loader can never disagree on
+    where the packages went; it imports nothing that pulls in torch.
+    """
+    from buzz.cuda_manager import get_cuda_env_site_packages
+
+    try:
+        return get_cuda_env_site_packages()
+    except OSError as exc:
+        logger.warning("Could not look up the CUDA environment: %s", exc)
+        return None
 
 
 def _is_abi_compatible(cuda_target: Path) -> bool:
     """Check that a torch in cuda_target was built for the running Python.
 
-    The CUDA packages are installed with a --target directory that survives app
+    The CUDA packages live in a venv outside the app that survives app
     upgrades. If Buzz later runs on a different Python version, the torch there
     is built against the wrong C ABI and would shadow the bundled one, failing
     the import with an undefined symbol error. Detect that and skip the dir.
@@ -78,13 +80,13 @@ def _get_site_packages_dirs() -> list[Path]:
     site_packages_dirs = []
     import site
 
-    # For snap/flatpak, packages are installed to an explicit --target directory
+    # GPU support installed from within Buzz lives in its own venv
     cuda_target = _get_cuda_target_dir()
     if cuda_target and cuda_target.exists() and _is_abi_compatible(cuda_target):
         if str(cuda_target) not in sys.path:
             sys.path.insert(0, str(cuda_target))
         site_packages_dirs.append(cuda_target)
-        logger.info("CUDA target dir (snap/flatpak): %s", cuda_target)
+        logger.info("CUDA environment site-packages: %s", cuda_target)
 
     user_site = site.getusersitepackages()
     if user_site:
@@ -159,7 +161,7 @@ def _setup_windows_dll_directories():
 
 
 def _collect_cuda_lib_dirs(cuda_target: Path) -> list[str]:
-    """Return all library directories under cuda_packages as strings."""
+    """Return all library directories under the CUDA venv as strings."""
     lib_dirs: list[str] = []
 
     torch_lib = cuda_target / "torch" / "lib"
diff --git a/buzz/pip_utils.py b/buzz/pip_utils.py
index 9c4759e5ed..7f15dfe30e 100644
--- a/buzz/pip_utils.py
+++ b/buzz/pip_utils.py
@@ -4,10 +4,13 @@
 This module centralises the logic needed to run ``pip`` reliably across the
 environments Buzz ships in: PyInstaller frozen bundles, Snap/Flatpak sandboxes,
 uv/virtualenv installs and plain system Python. It is used by the plugin system
-to install plugin-declared dependencies, and is intended to be the single source
-of truth for runtime pip handling (the CUDA installer on the ``unbundle-cuda``
-branch contains the original copy of this logic and should be unified with this
-module when that branch merges).
+to install plugin-declared dependencies.
+
+Note: the CUDA installer (``buzz/cuda_manager.py``) no longer shares this code.
+It installs into a private venv it creates itself, because neither pip nor
+ensurepip exists in the snap's Python, which ``get_pip_cmd`` below cannot
+recover from — plugin dependency installs hit the same wall there and would
+benefit from the same treatment.
 """
 
 import logging
diff --git a/snap/snapcraft.yaml b/snap/snapcraft.yaml
index 74d21520ea..52c85c4918 100644
--- a/snap/snapcraft.yaml
+++ b/snap/snapcraft.yaml
@@ -13,7 +13,7 @@ base: core24
 version: git
 title: Buzz
 summary: Buzz, offline audio transcription and translation
-website: https://buzzcaptions.com
+website: https://github.com/chidiwilliams/buzz
 source-code: https://github.com/chidiwilliams/buzz
 issues: https://github.com/chidiwilliams/buzz/issues
 contact: https://github.com/chidiwilliams
diff --git a/tests/cuda_manager_test.py b/tests/cuda_manager_test.py
index 490d120318..6bcea20dbf 100644
--- a/tests/cuda_manager_test.py
+++ b/tests/cuda_manager_test.py
@@ -8,19 +8,22 @@
 from buzz.cuda_manager import (
     CUDA_INDEX_URL,
     CUDA_NVIDIA_PACKAGES_LINUX,
+    get_cuda_env_dir,
+    get_cuda_env_site_packages,
+    get_cuda_root_dir,
     is_cuda_torch_installed,
     is_flatpak,
     is_nvidia_gpu_present,
     is_snap,
     should_offer_cuda_prompt,
     _cleanup_old_cuda_packages,
+    _create_cuda_env,
     _find_stale_cuda_dirs,
-    _get_install_target,
-    _get_pip_cmd,
-    _get_target_dir,
-    _in_virtualenv,
-    _pip_install,
+    _find_uv,
+    _get_base_python,
+    _run_install,
     _subprocess_hide_window_kwargs,
+    _venv_python,
     install_cuda,
 )
 
@@ -46,17 +49,26 @@ def test_returns_false_for_an_unrelated_snap(self, monkeypatch):
 
 
 class TestFindStaleCudaDirs:
-    def test_includes_the_target_when_it_exists(self, tmp_path, monkeypatch):
+    def test_includes_the_env_when_it_exists(self, tmp_path, monkeypatch):
         monkeypatch.delenv("SNAP", raising=False)
         monkeypatch.delenv("SNAP_NAME", raising=False)
-        target = tmp_path / "cuda_packages"
-        target.mkdir()
-        assert _find_stale_cuda_dirs(target) == [target]
+        env_dir = tmp_path / "cuda_env"
+        env_dir.mkdir()
+        assert _find_stale_cuda_dirs(env_dir) == [env_dir]
+
+    def test_includes_the_legacy_target_dir(self, tmp_path, monkeypatch):
+        # Installs made before the switch to a private venv used --target
+        # cuda_packages; several gigabytes that nothing else would remove.
+        monkeypatch.delenv("SNAP", raising=False)
+        monkeypatch.delenv("SNAP_NAME", raising=False)
+        legacy = tmp_path / "cuda_packages"
+        legacy.mkdir()
+        assert _find_stale_cuda_dirs(tmp_path / "cuda_env") == [legacy]
 
     def test_empty_when_nothing_installed(self, tmp_path, monkeypatch):
         monkeypatch.delenv("SNAP", raising=False)
         monkeypatch.delenv("SNAP_NAME", raising=False)
-        assert _find_stale_cuda_dirs(tmp_path / "cuda_packages") == []
+        assert _find_stale_cuda_dirs(tmp_path / "cuda_env") == []
 
     def test_includes_other_snap_revisions(self, tmp_path, monkeypatch):
         monkeypatch.setenv("SNAP", "/snap/buzz/current")
@@ -64,12 +76,12 @@ def test_includes_other_snap_revisions(self, tmp_path, monkeypatch):
         current = tmp_path / "1682"
         old = tmp_path / "1662"
         for revision in (current, old):
-            (revision / "cuda_packages").mkdir(parents=True)
+            (revision / "cuda_env").mkdir(parents=True)
         monkeypatch.setenv("SNAP_USER_DATA", str(current))
 
-        stale = _find_stale_cuda_dirs(current / "cuda_packages")
+        stale = _find_stale_cuda_dirs(current / "cuda_env")
 
-        assert set(stale) == {current / "cuda_packages", old / "cuda_packages"}
+        assert set(stale) == {current / "cuda_env", old / "cuda_env"}
 
     def test_skips_the_current_symlink(self, tmp_path, monkeypatch):
         # ~/snap/<name>/current symlinks to the active revision; following it
@@ -77,60 +89,59 @@ def test_skips_the_current_symlink(self, tmp_path, monkeypatch):
         monkeypatch.setenv("SNAP", "/snap/buzz/current")
         monkeypatch.setenv("SNAP_NAME", "buzz")
         revision = tmp_path / "1682"
-        (revision / "cuda_packages").mkdir(parents=True)
+        (revision / "cuda_env").mkdir(parents=True)
         (tmp_path / "current").symlink_to(revision)
         monkeypatch.setenv("SNAP_USER_DATA", str(revision))
 
-        assert _find_stale_cuda_dirs(revision / "cuda_packages") == [
-            revision / "cuda_packages"
-        ]
+        assert _find_stale_cuda_dirs(revision / "cuda_env") == [revision / "cuda_env"]
 
 
 class TestCleanupOldCudaPackages:
     def test_removes_stale_directory(self, tmp_path, monkeypatch):
         monkeypatch.delenv("SNAP", raising=False)
         monkeypatch.delenv("SNAP_NAME", raising=False)
-        target = tmp_path / "cuda_packages"
-        (target / "torch").mkdir(parents=True)
+        env_dir = tmp_path / "cuda_env"
+        (env_dir / "torch").mkdir(parents=True)
 
-        _cleanup_old_cuda_packages(target)
+        _cleanup_old_cuda_packages(env_dir)
 
-        assert not target.exists()
+        assert not env_dir.exists()
 
     def test_reports_progress(self, tmp_path, monkeypatch):
         monkeypatch.delenv("SNAP", raising=False)
         monkeypatch.delenv("SNAP_NAME", raising=False)
-        target = tmp_path / "cuda_packages"
-        target.mkdir()
+        env_dir = tmp_path / "cuda_env"
+        env_dir.mkdir()
         messages = []
 
-        _cleanup_old_cuda_packages(target, messages.append)
+        _cleanup_old_cuda_packages(env_dir, messages.append)
 
         assert any("Removing previous CUDA packages" in m for m in messages)
 
     def test_survives_removal_failure(self, tmp_path, monkeypatch):
         monkeypatch.delenv("SNAP", raising=False)
         monkeypatch.delenv("SNAP_NAME", raising=False)
-        target = tmp_path / "cuda_packages"
-        target.mkdir()
+        env_dir = tmp_path / "cuda_env"
+        env_dir.mkdir()
 
         with patch("shutil.rmtree", side_effect=OSError("permission denied")):
-            _cleanup_old_cuda_packages(target)  # must not raise
+            _cleanup_old_cuda_packages(env_dir)  # must not raise
 
     def test_install_cleans_before_installing(self, tmp_path, monkeypatch):
         monkeypatch.delenv("SNAP", raising=False)
         monkeypatch.delenv("SNAP_NAME", raising=False)
         monkeypatch.setenv("FLATPAK_ID", "io.github.chidiwilliams.buzz")
         monkeypatch.setenv("XDG_DATA_HOME", str(tmp_path))
-        stale_marker = tmp_path / "buzz" / "cuda_packages" / "torch" / "stale.txt"
+        stale_marker = tmp_path / "buzz" / "cuda_env" / "torch" / "stale.txt"
         stale_marker.parent.mkdir(parents=True)
         stale_marker.write_text("old install")
 
-        with patch("buzz.cuda_manager._pip_install") as pip_install:
-            install_cuda()
+        with patch("buzz.cuda_manager._create_cuda_env", return_value=["pip", "install"]):
+            with patch("buzz.cuda_manager._run_install") as run_install:
+                install_cuda()
 
         assert not stale_marker.exists()
-        assert pip_install.called
+        assert run_install.called
 
 
 class TestIsFlatpak:
@@ -231,70 +242,67 @@ def test_handles_timeout(self):
                 assert is_nvidia_gpu_present() is False
 
 
-class TestInVirtualenv:
-    def test_returns_true_when_virtual_env_set(self, monkeypatch):
-        monkeypatch.setenv("VIRTUAL_ENV", "/some/venv")
-        assert _in_virtualenv() is True
-
-    def test_returns_true_when_prefix_differs(self, monkeypatch):
-        monkeypatch.delenv("VIRTUAL_ENV", raising=False)
-        with patch.object(sys, "prefix", "/some/venv"):
-            with patch.object(sys, "base_prefix", "/usr"):
-                assert _in_virtualenv() is True
-
-    def test_returns_false_when_no_venv(self, monkeypatch):
-        monkeypatch.delenv("VIRTUAL_ENV", raising=False)
-        with patch.object(sys, "prefix", sys.base_prefix):
-            assert _in_virtualenv() is False
-
-
-class TestGetInstallTarget:
+class TestGetCudaEnvDir:
     def test_snap_uses_snap_user_data(self, monkeypatch, tmp_path):
         snap_dir = tmp_path / "snap_data"
         monkeypatch.setenv("SNAP", "/snap/buzz/current")
         monkeypatch.setenv("SNAP_NAME", "buzz")
         monkeypatch.setenv("SNAP_USER_DATA", str(snap_dir))
         monkeypatch.delenv("FLATPAK_ID", raising=False)
-        flags = _get_install_target()
-        assert flags[0] == "--target"
-        assert "cuda_packages" in flags[1]
-        assert str(snap_dir) in flags[1]
+        assert get_cuda_env_dir() == snap_dir / "cuda_env"
 
     def test_snap_falls_back_to_home_when_no_snap_user_data(self, monkeypatch):
         monkeypatch.setenv("SNAP", "/snap/buzz/current")
         monkeypatch.setenv("SNAP_NAME", "buzz")
         monkeypatch.delenv("SNAP_USER_DATA", raising=False)
         monkeypatch.delenv("FLATPAK_ID", raising=False)
-        with patch("pathlib.Path.mkdir"):
-            flags = _get_install_target()
-        assert flags[0] == "--target"
-        assert "cuda_packages" in flags[1]
+        assert get_cuda_env_dir() == Path.home() / ".local" / "share" / "buzz" / "cuda_env"
 
     def test_flatpak_uses_xdg_data_home(self, monkeypatch, tmp_path):
         monkeypatch.delenv("SNAP", raising=False)
         monkeypatch.delenv("SNAP_NAME", raising=False)
         monkeypatch.setenv("FLATPAK_ID", "io.github.chidiwilliams.buzz")
         monkeypatch.setenv("XDG_DATA_HOME", str(tmp_path))
-        with patch("pathlib.Path.mkdir"):
-            flags = _get_install_target()
-        assert flags[0] == "--target"
-        assert "buzz" in flags[1]
-        assert "cuda_packages" in flags[1]
+        assert get_cuda_env_dir() == tmp_path / "buzz" / "cuda_env"
 
-    def test_virtualenv_returns_empty(self, monkeypatch):
+    def test_falls_back_to_the_buzz_data_dir(self, monkeypatch):
+        # Never a shared site-packages: an uninstall has to be able to take the
+        # multi-gigabyte install with it.
         monkeypatch.delenv("SNAP", raising=False)
         monkeypatch.delenv("SNAP_NAME", raising=False)
         monkeypatch.delenv("FLATPAK_ID", raising=False)
-        monkeypatch.setenv("VIRTUAL_ENV", "/some/venv")
-        assert _get_install_target() == []
+        from platformdirs import user_data_dir
 
-    def test_bare_returns_user_flag(self, monkeypatch):
-        monkeypatch.delenv("SNAP", raising=False)
-        monkeypatch.delenv("SNAP_NAME", raising=False)
-        monkeypatch.delenv("FLATPAK_ID", raising=False)
-        monkeypatch.delenv("VIRTUAL_ENV", raising=False)
-        with patch.object(sys, "prefix", sys.base_prefix):
-            assert _get_install_target() == ["--user"]
+        assert get_cuda_root_dir() == Path(user_data_dir("Buzz"))
+        assert get_cuda_env_dir().name == "cuda_env"
+
+
+class TestGetCudaEnvSitePackages:
+    def test_finds_posix_layout(self, tmp_path, monkeypatch):
+        monkeypatch.setattr(sys, "platform", "linux")
+        site_packages = tmp_path / "lib" / "python3.13" / "site-packages"
+        site_packages.mkdir(parents=True)
+        assert get_cuda_env_site_packages(tmp_path) == site_packages
+
+    def test_finds_windows_layout(self, tmp_path, monkeypatch):
+        monkeypatch.setattr(sys, "platform", "win32")
+        site_packages = tmp_path / "Lib" / "site-packages"
+        site_packages.mkdir(parents=True)
+        assert get_cuda_env_site_packages(tmp_path) == site_packages
+
+    def test_returns_none_when_not_installed(self, tmp_path, monkeypatch):
+        monkeypatch.setattr(sys, "platform", "linux")
+        assert get_cuda_env_site_packages(tmp_path) is None
+
+
+class TestVenvPython:
+    def test_windows_layout(self, monkeypatch, tmp_path):
+        monkeypatch.setattr(sys, "platform", "win32")
+        assert _venv_python(tmp_path) == tmp_path / "Scripts" / "python.exe"
+
+    def test_posix_layout(self, monkeypatch, tmp_path):
+        monkeypatch.setattr(sys, "platform", "linux")
+        assert _venv_python(tmp_path) == tmp_path / "bin" / "python"
 
 
 class TestSubprocessHideWindowKwargs:
@@ -316,42 +324,100 @@ def test_returns_startupinfo_on_windows(self, monkeypatch):
             assert "creationflags" in result
 
 
-class TestGetPipCmd:
-    def test_returns_sys_executable_when_pip_available(self):
-        with patch("subprocess.run") as mock_run:
-            mock_run.return_value = MagicMock(returncode=0)
-            cmd = _get_pip_cmd()
-            assert cmd == [sys.executable, "-m", "pip"]
-
-    def test_bootstraps_pip_when_not_available(self):
-        responses = [
-            MagicMock(returncode=1),  # pip --version fails
-            MagicMock(returncode=0),  # ensurepip succeeds
-        ]
-        with patch("subprocess.run", side_effect=responses):
-            cmd = _get_pip_cmd()
-            assert cmd == [sys.executable, "-m", "pip"]
-
-    def test_raises_when_ensurepip_also_fails(self):
-        responses = [
-            MagicMock(returncode=1),  # pip --version fails
-            MagicMock(returncode=1),  # ensurepip fails
-        ]
-        with patch("subprocess.run", side_effect=responses):
-            with pytest.raises(RuntimeError, match="pip is not available"):
-                _get_pip_cmd()
-
-
-class TestPipInstall:
-    def test_calls_pip_with_packages(self):
+class TestGetBasePython:
+    def test_returns_base_executable_when_not_frozen(self, monkeypatch):
+        monkeypatch.setattr(sys, "frozen", False, raising=False)
+        assert _get_base_python() == getattr(sys, "_base_executable", None) or sys.executable
+
+    def test_prefers_the_bundled_interpreter_when_frozen(self, monkeypatch, tmp_path):
+        monkeypatch.setattr(sys, "frozen", True, raising=False)
+        monkeypatch.setattr(sys, "_MEIPASS", str(tmp_path), raising=False)
+        monkeypatch.setattr(sys, "platform", "linux")
+        bundled = tmp_path / "python" / "python3"
+        bundled.parent.mkdir(parents=True)
+        bundled.write_text("")
+
+        assert _get_base_python() == str(bundled)
+
+    def test_falls_back_to_path_when_frozen_without_bundle(self, monkeypatch, tmp_path):
+        monkeypatch.setattr(sys, "frozen", True, raising=False)
+        monkeypatch.setattr(sys, "_MEIPASS", str(tmp_path), raising=False)
+        with patch("shutil.which", return_value="/usr/bin/python3"):
+            assert _get_base_python() == "/usr/bin/python3"
+
+    def test_raises_when_frozen_and_no_interpreter(self, monkeypatch, tmp_path):
+        monkeypatch.setattr(sys, "frozen", True, raising=False)
+        monkeypatch.setattr(sys, "_MEIPASS", str(tmp_path), raising=False)
+        with patch("shutil.which", return_value=None):
+            with pytest.raises(RuntimeError, match="Could not find a Python interpreter"):
+                _get_base_python()
+
+
+class TestFindUv:
+    def test_prefers_the_snap_bundled_uv(self, monkeypatch, tmp_path):
+        monkeypatch.setenv("SNAP", str(tmp_path))
+        with patch("subprocess.run", return_value=MagicMock(returncode=0)):
+            assert _find_uv() == str(tmp_path / "bin" / "uv")
+
+    def test_falls_back_to_path(self, monkeypatch):
+        monkeypatch.delenv("SNAP", raising=False)
+        with patch("shutil.which", return_value="/usr/bin/uv"):
+            with patch("subprocess.run", return_value=MagicMock(returncode=0)):
+                assert _find_uv() == "/usr/bin/uv"
+
+    def test_returns_none_when_uv_is_unusable(self, monkeypatch):
+        monkeypatch.delenv("SNAP", raising=False)
+        with patch("shutil.which", return_value="/usr/bin/uv"):
+            with patch("subprocess.run", side_effect=OSError):
+                assert _find_uv() is None
+
+
+class TestCreateCudaEnv:
+    def test_uses_uv_when_available(self, tmp_path):
+        env_dir = tmp_path / "cuda_env"
+        with patch("buzz.cuda_manager._find_uv", return_value="/usr/bin/uv"):
+            with patch("buzz.cuda_manager._get_base_python", return_value="/usr/bin/python3"):
+                with patch("buzz.cuda_manager._run_command") as run_command:
+                    cmd = _create_cuda_env(env_dir)
+
+        assert run_command.call_args[0][0][:2] == ["/usr/bin/uv", "venv"]
+        assert cmd[:3] == ["/usr/bin/uv", "pip", "install"]
+
+    def test_falls_back_to_the_venv_module(self, tmp_path):
+        # The snap's Python has neither pip nor ensurepip, the Windows bundle
+        # has both; only one of the two paths can work on a given platform.
+        env_dir = tmp_path / "cuda_env"
+        with patch("buzz.cuda_manager._find_uv", return_value=None):
+            with patch("buzz.cuda_manager._get_base_python", return_value="/usr/bin/python3"):
+                with patch("subprocess.run", return_value=MagicMock(returncode=0)) as run:
+                    cmd = _create_cuda_env(env_dir)
+
+        assert run.call_args[0][0] == ["/usr/bin/python3", "-m", "venv", str(env_dir)]
+        assert cmd[1:] == ["-m", "pip", "install", "--no-cache-dir"]
+
+    def test_raises_when_venv_creation_fails(self, tmp_path):
+        env_dir = tmp_path / "cuda_env"
+        failure = MagicMock(returncode=1, stderr="no ensurepip", stdout="")
+        with patch("buzz.cuda_manager._find_uv", return_value=None):
+            with patch("buzz.cuda_manager._get_base_python", return_value="/usr/bin/python3"):
+                with patch("subprocess.run", return_value=failure):
+                    with pytest.raises(RuntimeError, match="Could not create the environment"):
+                        _create_cuda_env(env_dir)
+
+
+class TestRunInstall:
+    def test_calls_the_installer_with_packages(self):
         mock_proc = MagicMock()
         mock_proc.stdout = iter(["Collecting torch\n", "Successfully installed\n"])
         mock_proc.returncode = 0
         mock_proc.wait.return_value = None
 
-        with patch("buzz.cuda_manager._get_pip_cmd", return_value=[sys.executable, "-m", "pip"]):
-            with patch("subprocess.Popen", return_value=mock_proc) as mock_popen:
-                _pip_install(["torch==2.0.0"], extra_args=["--index-url", "https://example.com"])
+        with patch("subprocess.Popen", return_value=mock_proc) as mock_popen:
+            _run_install(
+                [sys.executable, "-m", "pip", "install"],
+                ["torch==2.0.0"],
+                extra_args=["--index-url", "https://example.com"],
+            )
 
         cmd = mock_popen.call_args[0][0]
         assert "torch==2.0.0" in cmd
@@ -363,10 +429,9 @@ def test_raises_on_nonzero_exit(self):
         mock_proc.returncode = 1
         mock_proc.wait.return_value = None
 
-        with patch("buzz.cuda_manager._get_pip_cmd", return_value=[sys.executable, "-m", "pip"]):
-            with patch("subprocess.Popen", return_value=mock_proc):
-                with pytest.raises(RuntimeError, match="pip install failed"):
-                    _pip_install(["torch==2.0.0"])
+        with patch("subprocess.Popen", return_value=mock_proc):
+            with pytest.raises(RuntimeError, match="pip install failed"):
+                _run_install([sys.executable, "-m", "pip", "install"], ["torch==2.0.0"])
 
     def test_calls_progress_callback(self):
         mock_proc = MagicMock()
@@ -375,52 +440,52 @@ def test_calls_progress_callback(self):
         mock_proc.wait.return_value = None
 
         calls = []
-        with patch("buzz.cuda_manager._get_pip_cmd", return_value=[sys.executable, "-m", "pip"]):
-            with patch("subprocess.Popen", return_value=mock_proc):
-                _pip_install(["pkg"], progress_callback=calls.append)
+        with patch("subprocess.Popen", return_value=mock_proc):
+            _run_install([sys.executable, "-m", "pip", "install"], ["pkg"], progress_callback=calls.append)
 
         assert "line1" in calls
         assert "line2" in calls
 
 
 class TestInstallCuda:
-    def test_calls_pip_install_twice(self, monkeypatch):
+    @pytest.fixture(autouse=True)
+    def _isolated_env(self, monkeypatch, tmp_path):
         monkeypatch.delenv("SNAP", raising=False)
         monkeypatch.delenv("SNAP_NAME", raising=False)
         monkeypatch.delenv("FLATPAK_ID", raising=False)
-        monkeypatch.setenv("VIRTUAL_ENV", "/some/venv")
-
-        with patch("buzz.cuda_manager._pip_install") as mock_pip:
-            install_cuda()
+        monkeypatch.setattr(
+            "buzz.cuda_manager.get_cuda_root_dir", lambda: tmp_path
+        )
 
-        assert mock_pip.call_count == 2
+    def test_installs_into_the_private_env(self):
+        with patch("buzz.cuda_manager._create_cuda_env") as create_env:
+            with patch("buzz.cuda_manager._run_install") as run_install:
+                install_cuda()
 
-    def test_passes_progress_callback(self, monkeypatch):
-        monkeypatch.delenv("SNAP", raising=False)
-        monkeypatch.delenv("SNAP_NAME", raising=False)
-        monkeypatch.delenv("FLATPAK_ID", raising=False)
-        monkeypatch.setenv("VIRTUAL_ENV", "/some/venv")
+        assert create_env.called
+        assert run_install.call_count == 2
+        # No --user, no --break-system-packages: nothing outside the private env.
+        for call_args in run_install.call_args_list:
+            assert "--user" not in (call_args.kwargs.get("extra_args") or [])
 
+    def test_passes_progress_callback(self):
         messages = []
-        with patch("buzz.cuda_manager._pip_install"):
-            install_cuda(progress_callback=messages.append)
+        with patch("buzz.cuda_manager._create_cuda_env"):
+            with patch("buzz.cuda_manager._run_install"):
+                install_cuda(progress_callback=messages.append)
 
         assert any("NVIDIA" in m for m in messages)
         assert any("PyTorch" in m for m in messages)
 
-    def test_linux_excludes_linux_only_packages_on_windows(self, monkeypatch):
+    def test_excludes_linux_only_packages_on_windows(self, monkeypatch):
         monkeypatch.setattr(sys, "platform", "win32")
-        monkeypatch.delenv("SNAP", raising=False)
-        monkeypatch.delenv("SNAP_NAME", raising=False)
-        monkeypatch.delenv("FLATPAK_ID", raising=False)
-
         captured = []
 
-        def fake_pip(packages, **kwargs):
-            captured.append(packages)
-
-        with patch("buzz.cuda_manager._pip_install", side_effect=fake_pip):
-            with patch("buzz.cuda_manager._get_install_target", return_value=[]):
+        with patch("buzz.cuda_manager._create_cuda_env"):
+            with patch(
+                "buzz.cuda_manager._run_install",
+                side_effect=lambda cmd, packages, **kwargs: captured.append(packages),
+            ):
                 install_cuda()
 
         nvidia_pkgs = captured[0]
diff --git a/tests/cuda_setup_test.py b/tests/cuda_setup_test.py
index 87470ca62c..64e6d13ecf 100644
--- a/tests/cuda_setup_test.py
+++ b/tests/cuda_setup_test.py
@@ -2,56 +2,78 @@
 from unittest.mock import patch
 
 
+def _make_env(root, version="3.13", platform_name="linux"):
+    """Create a venv-shaped site-packages tree under root and return it."""
+    if platform_name == "win32":
+        site_packages = root / "cuda_env" / "Lib" / "site-packages"
+    else:
+        site_packages = root / "cuda_env" / "lib" / f"python{version}" / "site-packages"
+    site_packages.mkdir(parents=True)
+    return site_packages
+
+
 class TestGetCudaTargetDir:
-    def test_returns_snap_path(self, monkeypatch, tmp_path):
+    def test_returns_snap_env_site_packages(self, monkeypatch, tmp_path):
+        monkeypatch.setattr(sys, "platform", "linux")
         monkeypatch.setenv("SNAP_USER_DATA", str(tmp_path))
         monkeypatch.setenv("SNAP_NAME", "buzz")
         monkeypatch.delenv("FLATPAK_ID", raising=False)
+        site_packages = _make_env(tmp_path)
+
         from buzz.cuda_setup import _get_cuda_target_dir
-        result = _get_cuda_target_dir()
-        assert result == tmp_path / "cuda_packages"
+        assert _get_cuda_target_dir() == site_packages
 
     def test_ignores_an_unrelated_snap(self, monkeypatch, tmp_path):
         # A snap-packaged tool launching Buzz exports SNAP_USER_DATA pointing at
         # its own directory; must agree with is_snap() in buzz/cuda_manager.py.
+        monkeypatch.setattr(sys, "platform", "linux")
         monkeypatch.setenv("SNAP_USER_DATA", str(tmp_path))
         monkeypatch.setenv("SNAP_NAME", "astral-uv")
         monkeypatch.delenv("FLATPAK_ID", raising=False)
+        _make_env(tmp_path)
+
         from buzz.cuda_setup import _get_cuda_target_dir
-        assert _get_cuda_target_dir() is None
+        assert _get_cuda_target_dir() != tmp_path / "cuda_env"
 
-    def test_returns_flatpak_path(self, monkeypatch, tmp_path):
+    def test_returns_flatpak_env_site_packages(self, monkeypatch, tmp_path):
+        monkeypatch.setattr(sys, "platform", "linux")
         monkeypatch.delenv("SNAP_USER_DATA", raising=False)
         monkeypatch.delenv("SNAP_NAME", raising=False)
         monkeypatch.setenv("FLATPAK_ID", "io.github.chidiwilliams.buzz")
         monkeypatch.setenv("XDG_DATA_HOME", str(tmp_path))
+        site_packages = _make_env(tmp_path / "buzz")
+
         from buzz.cuda_setup import _get_cuda_target_dir
-        result = _get_cuda_target_dir()
-        assert result == tmp_path / "buzz" / "cuda_packages"
+        assert _get_cuda_target_dir() == site_packages
 
-    def test_returns_none_when_no_env(self, monkeypatch):
+    def test_returns_windows_env_site_packages(self, monkeypatch, tmp_path):
+        # The Windows build installs into the same private venv, so nothing
+        # lands in a site-packages shared with other Python installs.
+        monkeypatch.setattr(sys, "platform", "win32")
         monkeypatch.delenv("SNAP_USER_DATA", raising=False)
         monkeypatch.delenv("SNAP_NAME", raising=False)
         monkeypatch.delenv("FLATPAK_ID", raising=False)
+        site_packages = _make_env(tmp_path, platform_name="win32")
+        monkeypatch.setattr("buzz.cuda_manager.get_cuda_root_dir", lambda: tmp_path)
+
         from buzz.cuda_setup import _get_cuda_target_dir
-        result = _get_cuda_target_dir()
-        assert result is None
+        assert _get_cuda_target_dir() == site_packages
 
-    def test_flatpak_falls_back_to_home(self, monkeypatch):
+    def test_returns_none_when_not_installed(self, monkeypatch, tmp_path):
+        monkeypatch.setattr(sys, "platform", "linux")
         monkeypatch.delenv("SNAP_USER_DATA", raising=False)
         monkeypatch.delenv("SNAP_NAME", raising=False)
-        monkeypatch.setenv("FLATPAK_ID", "io.github.chidiwilliams.buzz")
-        monkeypatch.delenv("XDG_DATA_HOME", raising=False)
+        monkeypatch.delenv("FLATPAK_ID", raising=False)
+        monkeypatch.setattr("buzz.cuda_manager.get_cuda_root_dir", lambda: tmp_path)
+
         from buzz.cuda_setup import _get_cuda_target_dir
-        result = _get_cuda_target_dir()
-        assert result is not None
-        assert "cuda_packages" in str(result)
+        assert _get_cuda_target_dir() is None
 
 
 class TestGetSitePackagesDirs:
     def test_adds_cuda_target_to_sys_path(self, monkeypatch, tmp_path):
-        cuda_target = tmp_path / "cuda_packages"
-        cuda_target.mkdir()
+        monkeypatch.setattr(sys, "platform", "linux")
+        cuda_target = _make_env(tmp_path)
         monkeypatch.setenv("SNAP_USER_DATA", str(tmp_path))
         monkeypatch.setenv("SNAP_NAME", "buzz")
         monkeypatch.delenv("FLATPAK_ID", raising=False)

From 20bfd2f477f725c2a05f26b9caee03599a4a295b Mon Sep 17 00:00:00 2001
From: Raivis Dejus <orvils@gmail.com>
Date: Sat, 12 Sep 2026 17:14:15 +0300
Subject: [PATCH 29/35] Appimage fix and translations

---
 appimage/build-appimage.sh            | 30 ++++++++-
 appimage/clear-execstack.py           | 87 +++++++++++++++++++++++++++
 buzz/locale/ca_ES/LC_MESSAGES/buzz.po | 17 +++---
 buzz/locale/da_DK/LC_MESSAGES/buzz.po | 19 +++---
 buzz/locale/de_DE/LC_MESSAGES/buzz.po | 21 ++++---
 buzz/locale/en_US/LC_MESSAGES/buzz.po |  6 +-
 buzz/locale/es_ES/LC_MESSAGES/buzz.po | 17 +++---
 buzz/locale/fr/LC_MESSAGES/buzz.po    | 52 +++++++++++++++-
 buzz/locale/it_IT/LC_MESSAGES/buzz.po | 20 +++---
 buzz/locale/ja_JP/LC_MESSAGES/buzz.po | 21 ++++---
 buzz/locale/lv_LV/LC_MESSAGES/buzz.po | 17 +++---
 buzz/locale/nl/LC_MESSAGES/buzz.po    | 20 +++---
 buzz/locale/pl_PL/LC_MESSAGES/buzz.po | 22 ++++---
 buzz/locale/pt_BR/LC_MESSAGES/buzz.po | 17 +++---
 buzz/locale/ru/LC_MESSAGES/buzz.po    | 51 +++++++++++++++-
 buzz/locale/uk_UA/LC_MESSAGES/buzz.po | 21 ++++---
 buzz/locale/zh_CN/LC_MESSAGES/buzz.po | 14 ++---
 buzz/locale/zh_TW/LC_MESSAGES/buzz.po | 16 ++---
 buzz/widgets/cuda_installer_widget.py |  3 +-
 19 files changed, 362 insertions(+), 109 deletions(-)
 create mode 100755 appimage/clear-execstack.py

diff --git a/appimage/build-appimage.sh b/appimage/build-appimage.sh
index 34675e44b6..92aa655cf2 100755
--- a/appimage/build-appimage.sh
+++ b/appimage/build-appimage.sh
@@ -50,6 +50,14 @@ mkdir -p "$APPDIR/usr/bin" \
 # Copy entire PyInstaller output into usr/bin/
 cp -a "$PROJECT_DIR/dist/Buzz/." "$APPDIR/usr/bin/"
 
+# Strip the executable-stack flag from bundled shared objects. uv's
+# python-build-standalone marks libpython PT_GNU_STACK=RWE, and kernels from
+# Linux 7.0 (Ubuntu 26.04) on refuse that at dlopen time, so the app dies with
+# "cannot enable executable stack as shared object requires: Invalid argument".
+# Patch the AppDir copy, never the shared uv Python cache.
+echo "==> Clearing executable-stack flags..."
+uv run --no-project "$SCRIPT_DIR/clear-execstack.py" "$APPDIR/usr/bin"
+
 # ── Step 3: Desktop integration ─────────────────────────────────────────────
 # Desktop file — Exec must be just the binary name for AppImage spec
 cat > "$APPDIR/Buzz.desktop" << 'EOF'
@@ -111,10 +119,26 @@ if [ ! -f "$RUNTIME" ]; then
         "https://github.com/AppImage/type2-runtime/releases/download/continuous/runtime-${ARCH}"
 fi
 
-# Use APPIMAGETOOL_EXTRACT_AND_RUN when FUSE is unavailable (CI, containers)
+# Fall back to extract-and-run when FUSE is unavailable (CI, containers) or
+# unusable. Presence of `fusermount` is not enough: distros that ship only FUSE 3
+# (Ubuntu 25.10+, where /usr/bin/fusermount is a symlink to fusermount3) still
+# fail to mount appimagetool's FUSE 2 runtime. Probe it instead of guessing.
+#
+# The variable is APPIMAGE_EXTRACT_AND_RUN: it is read by the AppImage type-2
+# runtime, which is what appimagetool (itself an AppImage) boots through. There
+# is no APPIMAGETOOL_-prefixed variant -- setting one is silently ignored and
+# the build dies with "Cannot mount AppImage, please check your FUSE setup."
 EXTRA_ARGS=(--runtime-file "$RUNTIME" --no-appstream)
-if [ "${CI:-}" = "true" ] || ! command -v fusermount &>/dev/null; then
-    export APPIMAGETOOL_EXTRACT_AND_RUN=1
+if [ "${CI:-}" = "true" ] || ! "$APPIMAGETOOL" --version >/dev/null 2>&1; then
+    echo "==> FUSE unusable for appimagetool; falling back to extract-and-run"
+    export APPIMAGE_EXTRACT_AND_RUN=1
+fi
+
+# If it still cannot start, neither mounting nor extraction works -- fail here
+# with a clear message instead of midway through packaging.
+if ! "$APPIMAGETOOL" --version >/dev/null 2>&1; then
+    echo "ERROR: cannot run $APPIMAGETOOL (neither FUSE mount nor extract-and-run works)." >&2
+    exit 1
 fi
 
 # Validate AppStream metadata ourselves in offline mode. appimagetool's internal
diff --git a/appimage/clear-execstack.py b/appimage/clear-execstack.py
new file mode 100755
index 0000000000..8f641d2af5
--- /dev/null
+++ b/appimage/clear-execstack.py
@@ -0,0 +1,87 @@
+#!/usr/bin/env python3
+"""Clear the executable-stack flag from bundled ELF shared objects.
+
+uv's python-build-standalone ships libpython marked PT_GNU_STACK = RWE, and
+PyInstaller copies it verbatim. Recent kernels (Ubuntu 26.04 / Linux 7.0)
+refuse to make the stack executable at dlopen time, so loading the library
+dies with:
+
+    cannot enable executable stack as shared object requires: Invalid argument
+
+Nothing in CPython actually needs an executable stack -- the flag is a build
+artifact -- so clearing PF_X on the PT_GNU_STACK header is the accepted fix.
+This is the same edit `execstack -c` / `patchelf --clear-execstack` perform,
+done here so the build needs no extra tooling.
+"""
+
+import os
+import struct
+import sys
+
+PT_GNU_STACK = 0x6474E551
+PF_X = 0x1
+
+
+def clear_execstack(path):
+    """Return True if the file was modified."""
+    with open(path, "rb") as fh:
+        header = fh.read(64)
+
+    # ELF64, little-endian only -- the only shape we ship on Linux.
+    if len(header) < 64 or header[:4] != b"\x7fELF":
+        return False
+    if header[4] != 2 or header[5] != 1:
+        return False
+
+    e_phoff = struct.unpack_from("<Q", header, 0x20)[0]
+    e_phentsize = struct.unpack_from("<H", header, 0x36)[0]
+    e_phnum = struct.unpack_from("<H", header, 0x38)[0]
+    if not e_phoff or e_phentsize < 8:
+        return False
+
+    with open(path, "r+b") as fh:
+        for i in range(e_phnum):
+            entry = e_phoff + i * e_phentsize
+            fh.seek(entry)
+            chunk = fh.read(8)
+            if len(chunk) < 8:
+                break
+            p_type, p_flags = struct.unpack("<II", chunk)
+            if p_type != PT_GNU_STACK or not (p_flags & PF_X):
+                continue
+            fh.seek(entry + 4)
+            fh.write(struct.pack("<I", p_flags & ~PF_X))
+            return True
+    return False
+
+
+def main(argv):
+    if len(argv) < 2:
+        print("usage: clear-execstack.py <dir-or-file>...", file=sys.stderr)
+        return 2
+
+    targets = []
+    for arg in argv[1:]:
+        if os.path.isdir(arg):
+            for root, _dirs, files in os.walk(arg):
+                targets.extend(os.path.join(root, f) for f in files)
+        else:
+            targets.append(arg)
+
+    patched = 0
+    for target in targets:
+        if os.path.islink(target) or not os.path.isfile(target):
+            continue
+        try:
+            if clear_execstack(target):
+                print(f"    cleared execstack: {target}")
+                patched += 1
+        except OSError as exc:
+            print(f"    warning: {target}: {exc}", file=sys.stderr)
+
+    print(f"    {patched} file(s) patched")
+    return 0
+
+
+if __name__ == "__main__":
+    sys.exit(main(sys.argv))
diff --git a/buzz/locale/ca_ES/LC_MESSAGES/buzz.po b/buzz/locale/ca_ES/LC_MESSAGES/buzz.po
index f988780479..7e2ba30524 100644
--- a/buzz/locale/ca_ES/LC_MESSAGES/buzz.po
+++ b/buzz/locale/ca_ES/LC_MESSAGES/buzz.po
@@ -7,7 +7,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: buzz\n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2026-09-12 09:03+0300\n"
+"POT-Creation-Date: 2026-09-12 17:09+0300\n"
 "PO-Revision-Date: 2026-09-11 18:58+0300\n"
 "Last-Translator: Éric Duarte <contacto@ericdq.com>\n"
 "Language-Team: Catalan <jmas@softcatala.org>\n"
@@ -782,22 +782,25 @@ msgid "Nvidia GPU Acceleration"
 msgstr "Acceleració GPU Nvidia"
 
 #: buzz/widgets/cuda_installer_widget.py
-#, fuzzy
 msgid "Install Nvidia GPU Acceleration?"
-msgstr "Utilitza només la CPU i desactiveu l'acceleració de la GPU"
+msgstr "Voleu instal·lar l'acceleració per a GPU Nvidia?"
 
 #: buzz/widgets/cuda_installer_widget.py
 msgid ""
 "Installing GPU acceleration for Nvidia GPUS allows Buzz to transcribe audio "
 "significantly faster using CUDA. For other GPU brands this acceleration will "
-"have no effect\n"
+"have no effect. CUDA is not needed to run whisper.cpp.\n"
 "\n"
 "This will download and install PyTorch with CUDA support (~8 GB). Buzz must "
 "be restarted after installation."
 msgstr ""
-"L'acceleració GPU per a Nvidia permet a Buzz transcriure àudio significativament més ràpid mitjançant CUDA. Per a altres marques de GPU, aquesta acceleració no tindrà cap efecte.\n"
+"L'acceleració GPU per a Nvidia permet a Buzz transcriure àudio "
+"significativament més ràpid mitjançant CUDA. Per a altres marques de GPU, "
+"aquesta acceleració no tindrà cap efecte. CUDA no és necessari per executar "
+"whisper.cpp.\n"
 "\n"
-"Això descarregarà i instal·larà PyTorch amb suport CUDA (~8 GB). Buzz s'ha de reiniciar després de la instal·lació."
+"Això descarregarà i instal·larà PyTorch amb suport CUDA (~8 GB). Buzz s'ha "
+"de reiniciar després de la instal·lació."
 
 #: buzz/widgets/cuda_installer_widget.py
 msgid "Install GPU Support"
@@ -811,7 +814,7 @@ msgstr "Ara no"
 msgid "Installation complete! Restart Buzz to enable GPU acceleration."
 msgstr "Instal·lació completada! Reinicieu Buzz per activar l'acceleració GPU."
 
-#: buzz/widgets/cuda_installer_widget.py
+#: buzz/widgets/cuda_installer_widget.py buzz/widgets/about_dialog.py
 msgid "Close"
 msgstr "Tanca"
 
diff --git a/buzz/locale/da_DK/LC_MESSAGES/buzz.po b/buzz/locale/da_DK/LC_MESSAGES/buzz.po
index b089e3eb97..68c65a29c0 100644
--- a/buzz/locale/da_DK/LC_MESSAGES/buzz.po
+++ b/buzz/locale/da_DK/LC_MESSAGES/buzz.po
@@ -3,7 +3,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: \n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2026-09-12 09:03+0300\n"
+"POT-Creation-Date: 2026-09-12 17:09+0300\n"
 "PO-Revision-Date: 2026-09-11 18:58+0300\n"
 "Last-Translator: Ole Guldberg2 <xalt7x.service@gmail.com>\n"
 "Language-Team: \n"
@@ -776,22 +776,25 @@ msgid "Nvidia GPU Acceleration"
 msgstr "Nvidia GPU-acceleration"
 
 #: buzz/widgets/cuda_installer_widget.py
-#, fuzzy
 msgid "Install Nvidia GPU Acceleration?"
-msgstr "Brug kun CPU og deaktiver GPU-acceleration"
+msgstr "Installer Nvidia GPU-acceleration?"
 
 #: buzz/widgets/cuda_installer_widget.py
 msgid ""
 "Installing GPU acceleration for Nvidia GPUS allows Buzz to transcribe audio "
 "significantly faster using CUDA. For other GPU brands this acceleration will "
-"have no effect\n"
+"have no effect. CUDA is not needed to run whisper.cpp.\n"
 "\n"
 "This will download and install PyTorch with CUDA support (~8 GB). Buzz must "
 "be restarted after installation."
 msgstr ""
-"Installation af GPU-acceleration til Nvidia GPU'er giver Buzz mulighed for at transskribere lyd betydeligt hurtigere ved hjælp af CUDA. For andre GPU-mærker vil denne acceleration ikke have nogen effekt.\n"
+"Installation af GPU-acceleration til Nvidia GPU'er giver Buzz mulighed for "
+"at transskribere lyd betydeligt hurtigere ved hjælp af CUDA. For andre GPU-"
+"mærker vil denne acceleration ikke have nogen effekt. CUDA er ikke nødvendig "
+"for at køre whisper.cpp.\n"
 "\n"
-"Dette vil downloade og installere PyTorch med CUDA-understøttelse (~8 GB). Buzz skal genstartes efter installation."
+"Dette vil downloade og installere PyTorch med CUDA-understøttelse (~8 GB). "
+"Buzz skal genstartes efter installation."
 
 #: buzz/widgets/cuda_installer_widget.py
 msgid "Install GPU Support"
@@ -805,9 +808,9 @@ msgstr "Ikke nu"
 msgid "Installation complete! Restart Buzz to enable GPU acceleration."
 msgstr "Installation fuldført! Genstart Buzz for at aktivere GPU-acceleration."
 
-#: buzz/widgets/cuda_installer_widget.py
+#: buzz/widgets/cuda_installer_widget.py buzz/widgets/about_dialog.py
 msgid "Close"
-msgstr ""
+msgstr "Luk"
 
 #: buzz/widgets/cuda_installer_widget.py
 msgid "Installation failed: {}"
diff --git a/buzz/locale/de_DE/LC_MESSAGES/buzz.po b/buzz/locale/de_DE/LC_MESSAGES/buzz.po
index eee8c663de..d7ac740e95 100644
--- a/buzz/locale/de_DE/LC_MESSAGES/buzz.po
+++ b/buzz/locale/de_DE/LC_MESSAGES/buzz.po
@@ -6,7 +6,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: \n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2026-09-12 09:03+0300\n"
+"POT-Creation-Date: 2026-09-12 17:09+0300\n"
 "PO-Revision-Date: 2026-09-11 18:58+0300\n"
 "Last-Translator: \n"
 "Language-Team: \n"
@@ -786,22 +786,25 @@ msgid "Nvidia GPU Acceleration"
 msgstr "Nvidia GPU-Beschleunigung"
 
 #: buzz/widgets/cuda_installer_widget.py
-#, fuzzy
 msgid "Install Nvidia GPU Acceleration?"
-msgstr "Nur CPU verwenden und GPU-Beschleunigung deaktivieren"
+msgstr "Nvidia-GPU-Beschleunigung installieren?"
 
 #: buzz/widgets/cuda_installer_widget.py
 msgid ""
 "Installing GPU acceleration for Nvidia GPUS allows Buzz to transcribe audio "
 "significantly faster using CUDA. For other GPU brands this acceleration will "
-"have no effect\n"
+"have no effect. CUDA is not needed to run whisper.cpp.\n"
 "\n"
 "This will download and install PyTorch with CUDA support (~8 GB). Buzz must "
 "be restarted after installation."
 msgstr ""
-"Die Installation der GPU-Beschleunigung für Nvidia GPUs ermöglicht es Buzz, Audio mithilfe von CUDA deutlich schneller zu transkribieren. Für andere GPU-Marken hat diese Beschleunigung keine Auswirkung.\n"
+"Die Installation der GPU-Beschleunigung für Nvidia GPUs ermöglicht es Buzz, "
+"Audio mithilfe von CUDA deutlich schneller zu transkribieren. Für andere GPU-"
+"Marken hat diese Beschleunigung keine Auswirkung. CUDA wird für whisper.cpp "
+"nicht benötigt.\n"
 "\n"
-"Dies lädt PyTorch mit CUDA-Unterstützung herunter und installiert es (~8 GB). Buzz muss nach der Installation neu gestartet werden."
+"Dies lädt PyTorch mit CUDA-Unterstützung herunter und installiert es (~8 "
+"GB). Buzz muss nach der Installation neu gestartet werden."
 
 #: buzz/widgets/cuda_installer_widget.py
 msgid "Install GPU Support"
@@ -813,9 +816,11 @@ msgstr "Nicht jetzt"
 
 #: buzz/widgets/cuda_installer_widget.py
 msgid "Installation complete! Restart Buzz to enable GPU acceleration."
-msgstr "Installation abgeschlossen! Starte Buzz neu, um die GPU-Beschleunigung zu aktivieren."
+msgstr ""
+"Installation abgeschlossen! Starte Buzz neu, um die GPU-Beschleunigung zu "
+"aktivieren."
 
-#: buzz/widgets/cuda_installer_widget.py
+#: buzz/widgets/cuda_installer_widget.py buzz/widgets/about_dialog.py
 msgid "Close"
 msgstr "Schließen"
 
diff --git a/buzz/locale/en_US/LC_MESSAGES/buzz.po b/buzz/locale/en_US/LC_MESSAGES/buzz.po
index 1a7335e19a..f203d2b56a 100644
--- a/buzz/locale/en_US/LC_MESSAGES/buzz.po
+++ b/buzz/locale/en_US/LC_MESSAGES/buzz.po
@@ -8,7 +8,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: PACKAGE VERSION\n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2026-09-12 09:03+0300\n"
+"POT-Creation-Date: 2026-09-12 17:09+0300\n"
 "PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
 "Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
 "Language-Team: LANGUAGE <LL@li.org>\n"
@@ -751,7 +751,7 @@ msgstr ""
 msgid ""
 "Installing GPU acceleration for Nvidia GPUS allows Buzz to transcribe audio "
 "significantly faster using CUDA. For other GPU brands this acceleration will "
-"have no effect\n"
+"have no effect. CUDA is not needed to run whisper.cpp.\n"
 "\n"
 "This will download and install PyTorch with CUDA support (~8 GB). Buzz must "
 "be restarted after installation."
@@ -769,7 +769,7 @@ msgstr ""
 msgid "Installation complete! Restart Buzz to enable GPU acceleration."
 msgstr ""
 
-#: buzz/widgets/cuda_installer_widget.py
+#: buzz/widgets/cuda_installer_widget.py buzz/widgets/about_dialog.py
 msgid "Close"
 msgstr ""
 
diff --git a/buzz/locale/es_ES/LC_MESSAGES/buzz.po b/buzz/locale/es_ES/LC_MESSAGES/buzz.po
index 81bd9000d1..80f9d22fa1 100644
--- a/buzz/locale/es_ES/LC_MESSAGES/buzz.po
+++ b/buzz/locale/es_ES/LC_MESSAGES/buzz.po
@@ -7,7 +7,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: \n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2026-09-12 09:03+0300\n"
+"POT-Creation-Date: 2026-09-12 17:09+0300\n"
 "PO-Revision-Date: 2026-09-11 18:58+0300\n"
 "Last-Translator: Éric Duarte <contacto@ericdq.com>\n"
 "Language-Team: \n"
@@ -810,22 +810,25 @@ msgid "Nvidia GPU Acceleration"
 msgstr "Aceleración GPU de Nvidia"
 
 #: buzz/widgets/cuda_installer_widget.py
-#, fuzzy
 msgid "Install Nvidia GPU Acceleration?"
-msgstr "Usa solo CPU y desactiva la aceleración de GPU"
+msgstr "¿Instalar la aceleración para GPU Nvidia?"
 
 #: buzz/widgets/cuda_installer_widget.py
 msgid ""
 "Installing GPU acceleration for Nvidia GPUS allows Buzz to transcribe audio "
 "significantly faster using CUDA. For other GPU brands this acceleration will "
-"have no effect\n"
+"have no effect. CUDA is not needed to run whisper.cpp.\n"
 "\n"
 "This will download and install PyTorch with CUDA support (~8 GB). Buzz must "
 "be restarted after installation."
 msgstr ""
-"Instalar la aceleración GPU para GPUs Nvidia permite a Buzz transcribir audio significativamente más rápido usando CUDA. Para otras marcas de GPU esta aceleración no tendrá efecto.\n"
+"Instalar la aceleración GPU para GPUs Nvidia permite a Buzz transcribir "
+"audio significativamente más rápido usando CUDA. Para otras marcas de GPU "
+"esta aceleración no tendrá efecto. CUDA no es necesario para ejecutar "
+"whisper.cpp.\n"
 "\n"
-"Esto descargará e instalará PyTorch con soporte CUDA (~8 GB). Buzz debe reiniciarse después de la instalación."
+"Esto descargará e instalará PyTorch con soporte CUDA (~8 GB). Buzz debe "
+"reiniciarse después de la instalación."
 
 #: buzz/widgets/cuda_installer_widget.py
 msgid "Install GPU Support"
@@ -839,7 +842,7 @@ msgstr "Ahora no"
 msgid "Installation complete! Restart Buzz to enable GPU acceleration."
 msgstr "¡Instalación completa! Reinicia Buzz para activar la aceleración GPU."
 
-#: buzz/widgets/cuda_installer_widget.py
+#: buzz/widgets/cuda_installer_widget.py buzz/widgets/about_dialog.py
 msgid "Close"
 msgstr "Cerrar"
 
diff --git a/buzz/locale/fr/LC_MESSAGES/buzz.po b/buzz/locale/fr/LC_MESSAGES/buzz.po
index 9953356f79..5510858358 100644
--- a/buzz/locale/fr/LC_MESSAGES/buzz.po
+++ b/buzz/locale/fr/LC_MESSAGES/buzz.po
@@ -9,7 +9,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: \n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2026-09-12 09:03+0300\n"
+"POT-Creation-Date: 2026-09-12 17:09+0300\n"
 "PO-Revision-Date: 2026-09-11 18:58+0300\n"
 "Last-Translator: cherkaba\n"
 "Language-Team: French <kde-francophone@kde.org>\n"
@@ -785,6 +785,52 @@ msgstr ""
 "Impossible de redémarrer la transcription : worker du transcripteur "
 "introuvable."
 
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Nvidia GPU Acceleration"
+msgstr "Accélération GPU Nvidia"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Install Nvidia GPU Acceleration?"
+msgstr "Installer l'accélération GPU Nvidia ?"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid ""
+"Installing GPU acceleration for Nvidia GPUS allows Buzz to transcribe audio "
+"significantly faster using CUDA. For other GPU brands this acceleration will "
+"have no effect. CUDA is not needed to run whisper.cpp.\n"
+"\n"
+"This will download and install PyTorch with CUDA support (~8 GB). Buzz must "
+"be restarted after installation."
+msgstr ""
+"L'installation de l'accélération GPU pour les GPU Nvidia permet à Buzz de "
+"transcrire l'audio beaucoup plus rapidement grâce à CUDA. Pour les GPU "
+"d'autres marques, cette accélération n'aura aucun effet. CUDA n'est pas "
+"nécessaire pour utiliser whisper.cpp.\n"
+"\n"
+"Cela téléchargera et installera PyTorch avec la prise en charge de CUDA (~8 "
+"Go). Buzz doit être redémarré après l'installation."
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Install GPU Support"
+msgstr "Installer la prise en charge GPU"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Not Now"
+msgstr "Pas maintenant"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Installation complete! Restart Buzz to enable GPU acceleration."
+msgstr ""
+"Installation terminée ! Redémarrez Buzz pour activer l'accélération GPU."
+
+#: buzz/widgets/cuda_installer_widget.py buzz/widgets/about_dialog.py
+msgid "Close"
+msgstr "Fermer"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Installation failed: {}"
+msgstr "Échec de l'installation : {}"
+
 #: buzz/widgets/recording_transcriber_widget.py
 msgid "Live Recording"
 msgstr "Enregistrement en direct"
@@ -1009,6 +1055,10 @@ msgstr "Vérifier les mises à jour"
 msgid "Show logs"
 msgstr "Afficher les journaux"
 
+#: buzz/widgets/about_dialog.py
+msgid "Install CUDA Acceleration"
+msgstr "Installer l'accélération CUDA"
+
 #: buzz/widgets/about_dialog.py
 msgid "You're up to date!"
 msgstr "Vous êtes à jour !"
diff --git a/buzz/locale/it_IT/LC_MESSAGES/buzz.po b/buzz/locale/it_IT/LC_MESSAGES/buzz.po
index a5003d25d8..82afbd5831 100644
--- a/buzz/locale/it_IT/LC_MESSAGES/buzz.po
+++ b/buzz/locale/it_IT/LC_MESSAGES/buzz.po
@@ -6,7 +6,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: buzz\n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2026-09-12 09:03+0300\n"
+"POT-Creation-Date: 2026-09-12 17:09+0300\n"
 "PO-Revision-Date: 2026-09-11 18:58+0300\n"
 "Language-Team: (Italiano) Albano Battistella <albanobattistella@gmail.com>\n"
 "Language: it_IT\n"
@@ -781,22 +781,25 @@ msgid "Nvidia GPU Acceleration"
 msgstr "Accelerazione GPU Nvidia"
 
 #: buzz/widgets/cuda_installer_widget.py
-#, fuzzy
 msgid "Install Nvidia GPU Acceleration?"
-msgstr "Utilizza solo la CPU e disattiva l'accelerazione GPU"
+msgstr "Installare l'accelerazione GPU Nvidia?"
 
 #: buzz/widgets/cuda_installer_widget.py
 msgid ""
 "Installing GPU acceleration for Nvidia GPUS allows Buzz to transcribe audio "
 "significantly faster using CUDA. For other GPU brands this acceleration will "
-"have no effect\n"
+"have no effect. CUDA is not needed to run whisper.cpp.\n"
 "\n"
 "This will download and install PyTorch with CUDA support (~8 GB). Buzz must "
 "be restarted after installation."
 msgstr ""
-"L'installazione dell'accelerazione GPU per GPU Nvidia consente a Buzz di trascrivere l'audio in modo significativamente più veloce tramite CUDA. Per altre marche di GPU questa accelerazione non avrà alcun effetto.\n"
+"L'installazione dell'accelerazione GPU per GPU Nvidia consente a Buzz di "
+"trascrivere l'audio in modo significativamente più veloce tramite CUDA. Per "
+"altre marche di GPU questa accelerazione non avrà alcun effetto. CUDA non è "
+"necessario per eseguire whisper.cpp.\n"
 "\n"
-"Verranno scaricati e installati PyTorch con supporto CUDA (~8 GB). Buzz deve essere riavviato dopo l'installazione."
+"Verranno scaricati e installati PyTorch con supporto CUDA (~8 GB). Buzz deve "
+"essere riavviato dopo l'installazione."
 
 #: buzz/widgets/cuda_installer_widget.py
 msgid "Install GPU Support"
@@ -808,9 +811,10 @@ msgstr "Non ora"
 
 #: buzz/widgets/cuda_installer_widget.py
 msgid "Installation complete! Restart Buzz to enable GPU acceleration."
-msgstr "Installazione completata! Riavvia Buzz per abilitare l'accelerazione GPU."
+msgstr ""
+"Installazione completata! Riavvia Buzz per abilitare l'accelerazione GPU."
 
-#: buzz/widgets/cuda_installer_widget.py
+#: buzz/widgets/cuda_installer_widget.py buzz/widgets/about_dialog.py
 msgid "Close"
 msgstr "Chiudi"
 
diff --git a/buzz/locale/ja_JP/LC_MESSAGES/buzz.po b/buzz/locale/ja_JP/LC_MESSAGES/buzz.po
index b8d16b01c4..eb92354f76 100644
--- a/buzz/locale/ja_JP/LC_MESSAGES/buzz.po
+++ b/buzz/locale/ja_JP/LC_MESSAGES/buzz.po
@@ -3,7 +3,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: \n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2026-09-12 09:03+0300\n"
+"POT-Creation-Date: 2026-09-12 17:09+0300\n"
 "PO-Revision-Date: 2026-09-11 18:58+0300\n"
 "Last-Translator: nunawa <71294849+nunawa@users.noreply.github.com>\n"
 "Language-Team: \n"
@@ -769,22 +769,25 @@ msgid "Nvidia GPU Acceleration"
 msgstr "Nvidia GPU アクセラレーション"
 
 #: buzz/widgets/cuda_installer_widget.py
-#, fuzzy
 msgid "Install Nvidia GPU Acceleration?"
-msgstr "CPUのみを使用してGPUアクセラレーションを無効にする"
+msgstr "Nvidia GPU アクセラレーションをインストールしますか？"
 
 #: buzz/widgets/cuda_installer_widget.py
 msgid ""
 "Installing GPU acceleration for Nvidia GPUS allows Buzz to transcribe audio "
 "significantly faster using CUDA. For other GPU brands this acceleration will "
-"have no effect\n"
+"have no effect. CUDA is not needed to run whisper.cpp.\n"
 "\n"
 "This will download and install PyTorch with CUDA support (~8 GB). Buzz must "
 "be restarted after installation."
 msgstr ""
-"Nvidia GPU 向けの GPU アクセラレーションをインストールすると、CUDA を使用して Buzz が音声をはるかに高速に文字起こしできるようになります。他の GPU ブランドではこのアクセラレーションは効果がありません。\n"
+"Nvidia GPU 向けの GPU アクセラレーションをインストールすると、CUDA を使用し"
+"て Buzz が音声をはるかに高速に文字起こしできるようになります。他の GPU ブラン"
+"ドではこのアクセラレーションは効果がありません。CUDA は whisper.cpp の実行に"
+"は必要ありません。\n"
 "\n"
-"CUDA サポート付きの PyTorch がダウンロード・インストールされます（約 2 GB）。インストール後、Buzz を再起動する必要があります。"
+"CUDA サポート付きの PyTorch がダウンロード・インストールされます（約 8 GB）。"
+"インストール後、Buzz を再起動する必要があります。"
 
 #: buzz/widgets/cuda_installer_widget.py
 msgid "Install GPU Support"
@@ -796,9 +799,11 @@ msgstr "後で"
 
 #: buzz/widgets/cuda_installer_widget.py
 msgid "Installation complete! Restart Buzz to enable GPU acceleration."
-msgstr "インストール完了！GPU アクセラレーションを有効にするには Buzz を再起動してください。"
+msgstr ""
+"インストール完了！GPU アクセラレーションを有効にするには Buzz を再起動してく"
+"ださい。"
 
-#: buzz/widgets/cuda_installer_widget.py
+#: buzz/widgets/cuda_installer_widget.py buzz/widgets/about_dialog.py
 msgid "Close"
 msgstr "閉じる"
 
diff --git a/buzz/locale/lv_LV/LC_MESSAGES/buzz.po b/buzz/locale/lv_LV/LC_MESSAGES/buzz.po
index c3635583a2..9ac0b525f9 100644
--- a/buzz/locale/lv_LV/LC_MESSAGES/buzz.po
+++ b/buzz/locale/lv_LV/LC_MESSAGES/buzz.po
@@ -7,7 +7,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: \n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2026-09-12 09:03+0300\n"
+"POT-Creation-Date: 2026-09-12 17:09+0300\n"
 "PO-Revision-Date: 2026-09-11 18:58+0300\n"
 "Last-Translator: \n"
 "Language-Team: \n"
@@ -781,15 +781,17 @@ msgstr "Instalēt Nvidia GPU paātrināšanu"
 msgid ""
 "Installing GPU acceleration for Nvidia GPUS allows Buzz to transcribe audio "
 "significantly faster using CUDA. For other GPU brands this acceleration will "
-"have no effect\n"
+"have no effect. CUDA is not needed to run whisper.cpp.\n"
 "\n"
 "This will download and install PyTorch with CUDA support (~8 GB). Buzz must "
 "be restarted after installation."
 msgstr ""
-"GPU paātrinājuma instalēšana Nvidia GPU kartēm ļauj Buzz ievērojami ātrāk atpazīt audio, izmantojot CUDA. "
-"Citu GPU ražotāju kartēm šim paātrinājumam nebūs nekādas ietekmes.\n"
+"GPU paātrinājuma instalēšana Nvidia GPU kartēm ļauj Buzz ievērojami ātrāk "
+"atpazīt audio, izmantojot CUDA. Citu GPU ražotāju kartēm šim paātrinājumam "
+"nebūs nekādas ietekmes. CUDA nav nepieciešams, lai darbinātu whisper.cpp.\n"
 "\n"
-"Tiks lejupielādēts un instalēts PyTorch ar CUDA atbalstu (~8 GB). Pēc instalēšanas Buzz ir jārestartē."
+"Tiks lejupielādēts un instalēts PyTorch ar CUDA atbalstu (~8 GB). Pēc "
+"instalēšanas Buzz ir jārestartē."
 
 #: buzz/widgets/cuda_installer_widget.py
 msgid "Install GPU Support"
@@ -801,9 +803,10 @@ msgstr "Ne tagad"
 
 #: buzz/widgets/cuda_installer_widget.py
 msgid "Installation complete! Restart Buzz to enable GPU acceleration."
-msgstr "Instalēšana pabeigta! Restartējiet Buzz, lai aktivizētu GPU paātrinājumu."
+msgstr ""
+"Instalēšana pabeigta! Restartējiet Buzz, lai aktivizētu GPU paātrinājumu."
 
-#: buzz/widgets/cuda_installer_widget.py
+#: buzz/widgets/cuda_installer_widget.py buzz/widgets/about_dialog.py
 msgid "Close"
 msgstr "Aizvērt"
 
diff --git a/buzz/locale/nl/LC_MESSAGES/buzz.po b/buzz/locale/nl/LC_MESSAGES/buzz.po
index 393c31ffd9..8bfc3cba38 100644
--- a/buzz/locale/nl/LC_MESSAGES/buzz.po
+++ b/buzz/locale/nl/LC_MESSAGES/buzz.po
@@ -8,7 +8,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: \n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2026-09-12 09:03+0300\n"
+"POT-Creation-Date: 2026-09-12 17:09+0300\n"
 "PO-Revision-Date: 2026-09-11 18:58+0300\n"
 "Last-Translator: Heimen Stoffels <vistausss@fastmail.com>\n"
 "Language-Team: none\n"
@@ -786,22 +786,25 @@ msgid "Nvidia GPU Acceleration"
 msgstr "Nvidia GPU-versnelling"
 
 #: buzz/widgets/cuda_installer_widget.py
-#, fuzzy
 msgid "Install Nvidia GPU Acceleration?"
-msgstr "Alleen CPU gebruiken en GPU-versnelling uitschakelen"
+msgstr "Nvidia GPU-versnelling installeren?"
 
 #: buzz/widgets/cuda_installer_widget.py
 msgid ""
 "Installing GPU acceleration for Nvidia GPUS allows Buzz to transcribe audio "
 "significantly faster using CUDA. For other GPU brands this acceleration will "
-"have no effect\n"
+"have no effect. CUDA is not needed to run whisper.cpp.\n"
 "\n"
 "This will download and install PyTorch with CUDA support (~8 GB). Buzz must "
 "be restarted after installation."
 msgstr ""
-"Het installeren van GPU-versnelling voor Nvidia GPU's stelt Buzz in staat om audio aanzienlijk sneller te transcriberen met CUDA. Voor andere GPU-merken heeft deze versnelling geen effect.\n"
+"Het installeren van GPU-versnelling voor Nvidia GPU's stelt Buzz in staat om "
+"audio aanzienlijk sneller te transcriberen met CUDA. Voor andere GPU-merken "
+"heeft deze versnelling geen effect. CUDA is niet nodig om whisper.cpp uit te "
+"voeren.\n"
 "\n"
-"Dit downloadt en installeert PyTorch met CUDA-ondersteuning (~8 GB). Buzz moet na de installatie opnieuw worden gestart."
+"Dit downloadt en installeert PyTorch met CUDA-ondersteuning (~8 GB). Buzz "
+"moet na de installatie opnieuw worden gestart."
 
 #: buzz/widgets/cuda_installer_widget.py
 msgid "Install GPU Support"
@@ -813,9 +816,10 @@ msgstr "Niet nu"
 
 #: buzz/widgets/cuda_installer_widget.py
 msgid "Installation complete! Restart Buzz to enable GPU acceleration."
-msgstr "Installatie voltooid! Herstart Buzz om GPU-versnelling in te schakelen."
+msgstr ""
+"Installatie voltooid! Herstart Buzz om GPU-versnelling in te schakelen."
 
-#: buzz/widgets/cuda_installer_widget.py
+#: buzz/widgets/cuda_installer_widget.py buzz/widgets/about_dialog.py
 msgid "Close"
 msgstr "Sluiten"
 
diff --git a/buzz/locale/pl_PL/LC_MESSAGES/buzz.po b/buzz/locale/pl_PL/LC_MESSAGES/buzz.po
index c139615d31..9ea704d217 100644
--- a/buzz/locale/pl_PL/LC_MESSAGES/buzz.po
+++ b/buzz/locale/pl_PL/LC_MESSAGES/buzz.po
@@ -7,7 +7,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: \n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2026-09-12 09:03+0300\n"
+"POT-Creation-Date: 2026-09-12 17:09+0300\n"
 "PO-Revision-Date: 2026-09-11 18:58+0300\n"
 "Last-Translator: \n"
 "Language-Team: \n"
@@ -778,22 +778,25 @@ msgid "Nvidia GPU Acceleration"
 msgstr "Akceleracja GPU Nvidia"
 
 #: buzz/widgets/cuda_installer_widget.py
-#, fuzzy
 msgid "Install Nvidia GPU Acceleration?"
-msgstr "Używaj tylko CPU i wyłącz akcelerację GPU"
+msgstr "Zainstalować akcelerację GPU Nvidia?"
 
 #: buzz/widgets/cuda_installer_widget.py
 msgid ""
 "Installing GPU acceleration for Nvidia GPUS allows Buzz to transcribe audio "
 "significantly faster using CUDA. For other GPU brands this acceleration will "
-"have no effect\n"
+"have no effect. CUDA is not needed to run whisper.cpp.\n"
 "\n"
 "This will download and install PyTorch with CUDA support (~8 GB). Buzz must "
 "be restarted after installation."
 msgstr ""
-"Instalacja akceleracji GPU dla kart Nvidia pozwala Buzz znacznie szybciej transkrybować dźwięk przy użyciu CUDA. Dla innych marek GPU ta akceleracja nie będzie miała żadnego efektu.\n"
+"Instalacja akceleracji GPU dla kart Nvidia pozwala Buzz znacznie szybciej "
+"transkrybować dźwięk przy użyciu CUDA. Dla innych marek GPU ta akceleracja "
+"nie będzie miała żadnego efektu. CUDA nie jest potrzebna do uruchomienia "
+"whisper.cpp.\n"
 "\n"
-"Spowoduje to pobranie i zainstalowanie PyTorch z obsługą CUDA (~8 GB). Po instalacji Buzz musi zostać ponownie uruchomiony."
+"Spowoduje to pobranie i zainstalowanie PyTorch z obsługą CUDA (~8 GB). Po "
+"instalacji Buzz musi zostać ponownie uruchomiony."
 
 #: buzz/widgets/cuda_installer_widget.py
 msgid "Install GPU Support"
@@ -805,11 +808,12 @@ msgstr "Nie teraz"
 
 #: buzz/widgets/cuda_installer_widget.py
 msgid "Installation complete! Restart Buzz to enable GPU acceleration."
-msgstr "Instalacja zakończona! Uruchom ponownie Buzz, aby włączyć akcelerację GPU."
+msgstr ""
+"Instalacja zakończona! Uruchom ponownie Buzz, aby włączyć akcelerację GPU."
 
-#: buzz/widgets/cuda_installer_widget.py
+#: buzz/widgets/cuda_installer_widget.py buzz/widgets/about_dialog.py
 msgid "Close"
-msgstr ""
+msgstr "Zamknij"
 
 #: buzz/widgets/cuda_installer_widget.py
 msgid "Installation failed: {}"
diff --git a/buzz/locale/pt_BR/LC_MESSAGES/buzz.po b/buzz/locale/pt_BR/LC_MESSAGES/buzz.po
index 1a6a4f89f5..f86b1fdef2 100644
--- a/buzz/locale/pt_BR/LC_MESSAGES/buzz.po
+++ b/buzz/locale/pt_BR/LC_MESSAGES/buzz.po
@@ -7,7 +7,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: Buzz\n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2026-09-12 09:03+0300\n"
+"POT-Creation-Date: 2026-09-12 17:09+0300\n"
 "PO-Revision-Date: 2026-09-11 18:58+0300\n"
 "Last-Translator: Paulo Schopf <pschopf@gmail.com>\n"
 "Language-Team: none\n"
@@ -779,22 +779,25 @@ msgid "Nvidia GPU Acceleration"
 msgstr "Aceleração GPU Nvidia"
 
 #: buzz/widgets/cuda_installer_widget.py
-#, fuzzy
 msgid "Install Nvidia GPU Acceleration?"
-msgstr "Usar somente a CPU e desabilitar aceleração por GPU"
+msgstr "Instalar a aceleração por GPU Nvidia?"
 
 #: buzz/widgets/cuda_installer_widget.py
 msgid ""
 "Installing GPU acceleration for Nvidia GPUS allows Buzz to transcribe audio "
 "significantly faster using CUDA. For other GPU brands this acceleration will "
-"have no effect\n"
+"have no effect. CUDA is not needed to run whisper.cpp.\n"
 "\n"
 "This will download and install PyTorch with CUDA support (~8 GB). Buzz must "
 "be restarted after installation."
 msgstr ""
-"Instalar a aceleração GPU para GPUs Nvidia permite ao Buzz transcrever áudio significativamente mais rápido usando CUDA. Para outras marcas de GPU, essa aceleração não terá efeito.\n"
+"Instalar a aceleração GPU para GPUs Nvidia permite ao Buzz transcrever áudio "
+"significativamente mais rápido usando CUDA. Para outras marcas de GPU, essa "
+"aceleração não terá efeito. O CUDA não é necessário para executar o "
+"whisper.cpp.\n"
 "\n"
-"Isso irá baixar e instalar o PyTorch com suporte a CUDA (~8 GB). O Buzz deve ser reiniciado após a instalação."
+"Isso irá baixar e instalar o PyTorch com suporte a CUDA (~8 GB). O Buzz deve "
+"ser reiniciado após a instalação."
 
 #: buzz/widgets/cuda_installer_widget.py
 msgid "Install GPU Support"
@@ -808,7 +811,7 @@ msgstr "Agora não"
 msgid "Installation complete! Restart Buzz to enable GPU acceleration."
 msgstr "Instalação concluída! Reinicie o Buzz para ativar a aceleração GPU."
 
-#: buzz/widgets/cuda_installer_widget.py
+#: buzz/widgets/cuda_installer_widget.py buzz/widgets/about_dialog.py
 msgid "Close"
 msgstr "Fechar"
 
diff --git a/buzz/locale/ru/LC_MESSAGES/buzz.po b/buzz/locale/ru/LC_MESSAGES/buzz.po
index 9e610e6219..3303a3c9eb 100644
--- a/buzz/locale/ru/LC_MESSAGES/buzz.po
+++ b/buzz/locale/ru/LC_MESSAGES/buzz.po
@@ -3,7 +3,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: \n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2026-09-12 09:03+0300\n"
+"POT-Creation-Date: 2026-09-12 17:09+0300\n"
 "PO-Revision-Date: 2026-09-11 18:58+0300\n"
 "Last-Translator: \n"
 "Language-Team: \n"
@@ -774,6 +774,51 @@ msgstr ""
 "найден.Не удалось перезапустить транскрипцию: обработчик транскрипции не "
 "найден."
 
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Nvidia GPU Acceleration"
+msgstr "Ускорение Nvidia GPU"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Install Nvidia GPU Acceleration?"
+msgstr "Установить ускорение Nvidia GPU?"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid ""
+"Installing GPU acceleration for Nvidia GPUS allows Buzz to transcribe audio "
+"significantly faster using CUDA. For other GPU brands this acceleration will "
+"have no effect. CUDA is not needed to run whisper.cpp.\n"
+"\n"
+"This will download and install PyTorch with CUDA support (~8 GB). Buzz must "
+"be restarted after installation."
+msgstr ""
+"Установка ускорения GPU для видеокарт Nvidia позволяет Buzz значительно "
+"быстрее транскрибировать аудио с помощью CUDA. Для видеокарт других "
+"производителей это ускорение не даст эффекта. CUDA не требуется для работы "
+"whisper.cpp.\n"
+"\n"
+"Будет загружен и установлен PyTorch с поддержкой CUDA (~8 ГБ). После "
+"установки Buzz необходимо перезапустить."
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Install GPU Support"
+msgstr "Установить поддержку GPU"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Not Now"
+msgstr "Не сейчас"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Installation complete! Restart Buzz to enable GPU acceleration."
+msgstr "Установка завершена! Перезапустите Buzz, чтобы включить ускорение GPU."
+
+#: buzz/widgets/cuda_installer_widget.py buzz/widgets/about_dialog.py
+msgid "Close"
+msgstr "Закрыть"
+
+#: buzz/widgets/cuda_installer_widget.py
+msgid "Installation failed: {}"
+msgstr "Ошибка установки: {}"
+
 #: buzz/widgets/recording_transcriber_widget.py
 msgid "Live Recording"
 msgstr "Живая запись"
@@ -998,6 +1043,10 @@ msgstr "Проверить обновления"
 msgid "Show logs"
 msgstr "Показать журналы"
 
+#: buzz/widgets/about_dialog.py
+msgid "Install CUDA Acceleration"
+msgstr "Установить ускорение CUDA"
+
 #: buzz/widgets/about_dialog.py
 msgid "You're up to date!"
 msgstr "У вас актуальная версия!"
diff --git a/buzz/locale/uk_UA/LC_MESSAGES/buzz.po b/buzz/locale/uk_UA/LC_MESSAGES/buzz.po
index 4e2d309180..ae20dd6216 100644
--- a/buzz/locale/uk_UA/LC_MESSAGES/buzz.po
+++ b/buzz/locale/uk_UA/LC_MESSAGES/buzz.po
@@ -3,7 +3,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: \n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2026-09-12 09:03+0300\n"
+"POT-Creation-Date: 2026-09-12 17:09+0300\n"
 "PO-Revision-Date: 2026-09-11 18:58+0300\n"
 "Last-Translator: Yevhen Popok <xalt7x.service@gmail.com>\n"
 "Language-Team: \n"
@@ -776,22 +776,25 @@ msgid "Nvidia GPU Acceleration"
 msgstr "Апаратне прискорення Nvidia GPU"
 
 #: buzz/widgets/cuda_installer_widget.py
-#, fuzzy
 msgid "Install Nvidia GPU Acceleration?"
-msgstr "Використовувати лише CPU та вимкнути прискорення GPU"
+msgstr "Встановити прискорення Nvidia GPU?"
 
 #: buzz/widgets/cuda_installer_widget.py
 msgid ""
 "Installing GPU acceleration for Nvidia GPUS allows Buzz to transcribe audio "
 "significantly faster using CUDA. For other GPU brands this acceleration will "
-"have no effect\n"
+"have no effect. CUDA is not needed to run whisper.cpp.\n"
 "\n"
 "This will download and install PyTorch with CUDA support (~8 GB). Buzz must "
 "be restarted after installation."
 msgstr ""
-"Встановлення апаратного прискорення GPU для відеокарт Nvidia дозволяє Buzz значно швидше транскрибувати аудіо за допомогою CUDA. Для відеокарт інших виробників це прискорення не матиме жодного ефекту.\n"
+"Встановлення апаратного прискорення GPU для відеокарт Nvidia дозволяє Buzz "
+"значно швидше транскрибувати аудіо за допомогою CUDA. Для відеокарт інших "
+"виробників це прискорення не матиме жодного ефекту. CUDA не потрібна для "
+"роботи whisper.cpp.\n"
 "\n"
-"Це завантажить і встановить PyTorch з підтримкою CUDA (~2 ГБ). Після встановлення необхідно перезапустити Buzz."
+"Це завантажить і встановить PyTorch з підтримкою CUDA (~8 ГБ). Після "
+"встановлення необхідно перезапустити Buzz."
 
 #: buzz/widgets/cuda_installer_widget.py
 msgid "Install GPU Support"
@@ -803,9 +806,11 @@ msgstr "Не зараз"
 
 #: buzz/widgets/cuda_installer_widget.py
 msgid "Installation complete! Restart Buzz to enable GPU acceleration."
-msgstr "Встановлення завершено! Перезапустіть Buzz, щоб увімкнути апаратне прискорення GPU."
+msgstr ""
+"Встановлення завершено! Перезапустіть Buzz, щоб увімкнути апаратне "
+"прискорення GPU."
 
-#: buzz/widgets/cuda_installer_widget.py
+#: buzz/widgets/cuda_installer_widget.py buzz/widgets/about_dialog.py
 msgid "Close"
 msgstr "Закрити"
 
diff --git a/buzz/locale/zh_CN/LC_MESSAGES/buzz.po b/buzz/locale/zh_CN/LC_MESSAGES/buzz.po
index 6e54829e60..a36820946c 100644
--- a/buzz/locale/zh_CN/LC_MESSAGES/buzz.po
+++ b/buzz/locale/zh_CN/LC_MESSAGES/buzz.po
@@ -7,7 +7,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: \n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2026-09-12 09:03+0300\n"
+"POT-Creation-Date: 2026-09-12 17:09+0300\n"
 "PO-Revision-Date: 2026-09-11 18:58+0300\n"
 "Last-Translator: \n"
 "Language-Team: lamb\n"
@@ -760,22 +760,22 @@ msgid "Nvidia GPU Acceleration"
 msgstr "Nvidia GPU 加速"
 
 #: buzz/widgets/cuda_installer_widget.py
-#, fuzzy
 msgid "Install Nvidia GPU Acceleration?"
-msgstr "仅使用 CPU 并禁用 GPU 加速"
+msgstr "是否安装 Nvidia GPU 加速？"
 
 #: buzz/widgets/cuda_installer_widget.py
 msgid ""
 "Installing GPU acceleration for Nvidia GPUS allows Buzz to transcribe audio "
 "significantly faster using CUDA. For other GPU brands this acceleration will "
-"have no effect\n"
+"have no effect. CUDA is not needed to run whisper.cpp.\n"
 "\n"
 "This will download and install PyTorch with CUDA support (~8 GB). Buzz must "
 "be restarted after installation."
 msgstr ""
-"为 Nvidia GPU 安装 GPU 加速后，Buzz 可以使用 CUDA 显著加快音频转录速度。对于其他品牌的 GPU，此加速将不起作用。\n"
+"为 Nvidia GPU 安装 GPU 加速后，Buzz 可以使用 CUDA 显著加快音频转录速度。对于"
+"其他品牌的 GPU，此加速将不起作用。运行 whisper.cpp 不需要 CUDA。\n"
 "\n"
-"这将下载并安装支持 CUDA 的 PyTorch（约 2 GB）。安装完成后必须重启 Buzz。"
+"这将下载并安装支持 CUDA 的 PyTorch（约 8 GB）。安装完成后必须重启 Buzz。"
 
 #: buzz/widgets/cuda_installer_widget.py
 msgid "Install GPU Support"
@@ -789,7 +789,7 @@ msgstr "暂不安装"
 msgid "Installation complete! Restart Buzz to enable GPU acceleration."
 msgstr "安装完成！请重启 Buzz 以启用 GPU 加速。"
 
-#: buzz/widgets/cuda_installer_widget.py
+#: buzz/widgets/cuda_installer_widget.py buzz/widgets/about_dialog.py
 msgid "Close"
 msgstr "关闭"
 
diff --git a/buzz/locale/zh_TW/LC_MESSAGES/buzz.po b/buzz/locale/zh_TW/LC_MESSAGES/buzz.po
index 5bf49f0862..2e5b19e718 100644
--- a/buzz/locale/zh_TW/LC_MESSAGES/buzz.po
+++ b/buzz/locale/zh_TW/LC_MESSAGES/buzz.po
@@ -7,7 +7,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: \n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2026-09-12 09:03+0300\n"
+"POT-Creation-Date: 2026-09-12 17:09+0300\n"
 "PO-Revision-Date: 2026-09-11 18:58+0300\n"
 "Last-Translator: \n"
 "Language-Team: Lamb\n"
@@ -761,22 +761,22 @@ msgid "Nvidia GPU Acceleration"
 msgstr "Nvidia GPU 加速"
 
 #: buzz/widgets/cuda_installer_widget.py
-#, fuzzy
 msgid "Install Nvidia GPU Acceleration?"
-msgstr "僅使用 CPU 並停用 GPU 加速"
+msgstr "是否安裝 Nvidia GPU 加速？"
 
 #: buzz/widgets/cuda_installer_widget.py
 msgid ""
 "Installing GPU acceleration for Nvidia GPUS allows Buzz to transcribe audio "
 "significantly faster using CUDA. For other GPU brands this acceleration will "
-"have no effect\n"
+"have no effect. CUDA is not needed to run whisper.cpp.\n"
 "\n"
 "This will download and install PyTorch with CUDA support (~8 GB). Buzz must "
 "be restarted after installation."
 msgstr ""
-"為 Nvidia GPU 安裝 GPU 加速後，Buzz 可以使用 CUDA 大幅提升音訊轉錄速度。對於其他品牌的 GPU，此加速將不起作用。\n"
+"為 Nvidia GPU 安裝 GPU 加速後，Buzz 可以使用 CUDA 大幅提升音訊轉錄速度。對於"
+"其他品牌的 GPU，此加速將不起作用。執行 whisper.cpp 不需要 CUDA。\n"
 "\n"
-"這將下載並安裝支援 CUDA 的 PyTorch（約 2 GB）。安裝完成後必須重新啟動 Buzz。"
+"這將下載並安裝支援 CUDA 的 PyTorch（約 8 GB）。安裝完成後必須重新啟動 Buzz。"
 
 #: buzz/widgets/cuda_installer_widget.py
 msgid "Install GPU Support"
@@ -790,9 +790,9 @@ msgstr "暫不安裝"
 msgid "Installation complete! Restart Buzz to enable GPU acceleration."
 msgstr "安裝完成！請重新啟動 Buzz 以啟用 GPU 加速。"
 
-#: buzz/widgets/cuda_installer_widget.py
+#: buzz/widgets/cuda_installer_widget.py buzz/widgets/about_dialog.py
 msgid "Close"
-msgstr ""
+msgstr "關閉"
 
 #: buzz/widgets/cuda_installer_widget.py
 msgid "Installation failed: {}"
diff --git a/buzz/widgets/cuda_installer_widget.py b/buzz/widgets/cuda_installer_widget.py
index 4b51e26330..7202d70410 100644
--- a/buzz/widgets/cuda_installer_widget.py
+++ b/buzz/widgets/cuda_installer_widget.py
@@ -67,7 +67,8 @@ def __init__(self, parent: Optional[QWidget] = None):
             _(
                 "Installing GPU acceleration for Nvidia GPUS allows Buzz "
                 "to transcribe audio significantly faster using CUDA. "
-                "For other GPU brands this acceleration will have no effect\n\n"
+                "For other GPU brands this acceleration will have no effect. "
+                "CUDA is not needed to run whisper.cpp.\n\n"
                 "This will download and install PyTorch with CUDA support (~8 GB). "
                 "Buzz must be restarted after installation."
             )

From 97ce55c3f05e609b04b77a792e01d4674d26471f Mon Sep 17 00:00:00 2001
From: Raivis Dejus <orvils@gmail.com>
Date: Sat, 12 Sep 2026 17:31:01 +0300
Subject: [PATCH 30/35] Appimage fix

---
 appimage/build-appimage.sh | 13 ++++++++
 buzz/cuda_manager.py       | 65 ++++++++++++++++++++++++++++++++------
 tests/cuda_manager_test.py | 60 ++++++++++++++++++++++++++++++++---
 3 files changed, 125 insertions(+), 13 deletions(-)

diff --git a/appimage/build-appimage.sh b/appimage/build-appimage.sh
index 92aa655cf2..98cea212c8 100755
--- a/appimage/build-appimage.sh
+++ b/appimage/build-appimage.sh
@@ -58,6 +58,19 @@ cp -a "$PROJECT_DIR/dist/Buzz/." "$APPDIR/usr/bin/"
 echo "==> Clearing executable-stack flags..."
 uv run --no-project "$SCRIPT_DIR/clear-execstack.py" "$APPDIR/usr/bin"
 
+# Bundle uv: the in-app CUDA installer needs it to build the private CUDA venv.
+# The AppImage ships no standalone interpreter, and the host's python3 is
+# whatever the distro installed — on Ubuntu 26.04 that is 3.14, which has no
+# torch wheels. uv downloads a CPython matching the one Buzz is frozen with.
+echo "==> Bundling uv..."
+UV_BIN="$(command -v uv)"
+if [ -z "$UV_BIN" ]; then
+    echo "ERROR: uv not found in PATH; it is required for in-app CUDA installation." >&2
+    exit 1
+fi
+cp "$(readlink -f "$UV_BIN")" "$APPDIR/usr/bin/uv"
+chmod +x "$APPDIR/usr/bin/uv"
+
 # ── Step 3: Desktop integration ─────────────────────────────────────────────
 # Desktop file — Exec must be just the binary name for AppImage spec
 cat > "$APPDIR/Buzz.desktop" << 'EOF'
diff --git a/buzz/cuda_manager.py b/buzz/cuda_manager.py
index aa2cf9c324..24582350c7 100644
--- a/buzz/cuda_manager.py
+++ b/buzz/cuda_manager.py
@@ -280,13 +280,49 @@ def report(msg):
     report("CUDA installation complete. Please restart Buzz to enable GPU acceleration.")
 
 
-def _get_base_python() -> str:
+def get_python_version() -> str:
+    """Return the major.minor version the CUDA wheels must be built for."""
+    return f"{sys.version_info.major}.{sys.version_info.minor}"
+
+
+def _interpreter_version_matches(python: str) -> bool:
+    """Return True if `python` reports the same major.minor as the running one.
+
+    The CUDA wheels are ABI-specific and Buzz imports them into its own
+    process, so an interpreter of any other version is useless here — torch
+    publishes no wheel for it (a newer Python), or the extension modules it
+    does install cannot be loaded by the app.
+    """
+    try:
+        probe = subprocess.run(
+            [python, "-c", "import sys; print('%d.%d' % sys.version_info[:2])"],
+            capture_output=True,
+            text=True,
+            timeout=30,
+            **_subprocess_hide_window_kwargs(),
+        )
+    except (OSError, subprocess.SubprocessError) as exc:
+        logger.warning("Could not probe the version of %s: %s", python, exc)
+        return False
+
+    if probe.returncode != 0:
+        return False
+    return probe.stdout.strip() == get_python_version()
+
+
+def _get_base_python() -> str | None:
     """Return a real Python interpreter that can create the CUDA venv.
 
     In a frozen PyInstaller bundle sys.executable is the app binary and cannot
     run -m venv, so the interpreter shipped alongside the app is used instead.
     Its version always matches the one Buzz was frozen with, which matters
     because the CUDA wheels are ABI-specific.
+
+    Returns None when no interpreter of the right version is available — the
+    AppImage bundle ships no separate interpreter, and the host's `python3` is
+    whatever the distro installed (Ubuntu 26.04 ships 3.14, which has no torch
+    wheels at all). uv can download a matching one in that case; see
+    _create_cuda_env.
     """
     if getattr(sys, "frozen", False):
         # PyInstaller extracts bundled data to sys._MEIPASS (_internal dir)
@@ -295,16 +331,16 @@ def _get_base_python() -> str:
         bundled_python = internal_dir / "python" / python_name
         if bundled_python.is_file():
             return str(bundled_python)
-        # Fallback: look in PATH
-        version = f"{sys.version_info.major}.{sys.version_info.minor}"
+        # Fallback: look in PATH, but only for an interpreter of our version.
+        version = get_python_version()
         for candidate in (f"python{version}", "python3", "python"):
             python = shutil.which(candidate)
-            if python:
+            if python and _interpreter_version_matches(python):
                 return python
-        raise RuntimeError(
-            "Could not find a Python interpreter. "
-            f"Please install Python {version} and try again."
+        logger.info(
+            "No Python %s interpreter found in PATH for the CUDA environment", version
         )
+        return None
 
     # Inside a venv, base_executable is the interpreter the venv was built from;
     # deriving the new venv from it avoids chaining venvs.
@@ -363,9 +399,13 @@ def _create_cuda_env(env_dir: Path, progress_callback=None) -> list[str]:
 
     uv = _find_uv()
     if uv:
-        logger.info("Creating CUDA venv with uv (%s) from %s", uv, python)
+        # With no matching interpreter on the machine, ask uv for the version
+        # instead of a path: it downloads a managed CPython of exactly that
+        # version, which is what the cu129 wheels are built for.
+        python_arg = python or get_python_version()
+        logger.info("Creating CUDA venv with uv (%s) from %s", uv, python_arg)
         _run_command(
-            [uv, "venv", "--python", python, str(env_dir)],
+            [uv, "venv", "--python", python_arg, str(env_dir)],
             progress_callback=progress_callback,
             error_message="Could not create the environment for CUDA packages",
         )
@@ -376,6 +416,13 @@ def _create_cuda_env(env_dir: Path, progress_callback=None) -> list[str]:
             "--python", str(_venv_python(env_dir)),
         ]
 
+    if python is None:
+        raise RuntimeError(
+            f"Could not find a Python {get_python_version()} interpreter to create "
+            "the environment for CUDA packages. Install Python "
+            f"{get_python_version()} (or uv) and try again."
+        )
+
     logger.info("Creating CUDA venv with %s -m venv", python)
     result = subprocess.run(
         [python, "-m", "venv", str(env_dir)],
diff --git a/tests/cuda_manager_test.py b/tests/cuda_manager_test.py
index 6bcea20dbf..55d79889a7 100644
--- a/tests/cuda_manager_test.py
+++ b/tests/cuda_manager_test.py
@@ -20,7 +20,9 @@
     _create_cuda_env,
     _find_stale_cuda_dirs,
     _find_uv,
+    get_python_version,
     _get_base_python,
+    _interpreter_version_matches,
     _run_install,
     _subprocess_hide_window_kwargs,
     _venv_python,
@@ -343,14 +345,41 @@ def test_falls_back_to_path_when_frozen_without_bundle(self, monkeypatch, tmp_pa
         monkeypatch.setattr(sys, "frozen", True, raising=False)
         monkeypatch.setattr(sys, "_MEIPASS", str(tmp_path), raising=False)
         with patch("shutil.which", return_value="/usr/bin/python3"):
-            assert _get_base_python() == "/usr/bin/python3"
+            with patch(
+                "buzz.cuda_manager._interpreter_version_matches", return_value=True
+            ):
+                assert _get_base_python() == "/usr/bin/python3"
+
+    def test_skips_a_path_interpreter_of_another_version(self, monkeypatch, tmp_path):
+        # The AppImage bundles no separate interpreter, so PATH is all there is,
+        # and the distro's python3 may be a version torch has no wheels for.
+        monkeypatch.setattr(sys, "frozen", True, raising=False)
+        monkeypatch.setattr(sys, "_MEIPASS", str(tmp_path), raising=False)
+        with patch("shutil.which", return_value="/usr/bin/python3"):
+            with patch(
+                "buzz.cuda_manager._interpreter_version_matches", return_value=False
+            ):
+                assert _get_base_python() is None
 
-    def test_raises_when_frozen_and_no_interpreter(self, monkeypatch, tmp_path):
+    def test_returns_none_when_frozen_and_no_interpreter(self, monkeypatch, tmp_path):
         monkeypatch.setattr(sys, "frozen", True, raising=False)
         monkeypatch.setattr(sys, "_MEIPASS", str(tmp_path), raising=False)
         with patch("shutil.which", return_value=None):
-            with pytest.raises(RuntimeError, match="Could not find a Python interpreter"):
-                _get_base_python()
+            assert _get_base_python() is None
+
+
+class TestInterpreterVersionMatches:
+    def test_true_for_the_running_version(self):
+        assert _interpreter_version_matches(sys.executable) is True
+
+    def test_false_for_another_version(self):
+        probe = MagicMock(returncode=0, stdout="3.14\n")
+        with patch("subprocess.run", return_value=probe):
+            assert _interpreter_version_matches("/usr/bin/python3") is False
+
+    def test_false_when_the_probe_cannot_run(self):
+        with patch("subprocess.run", side_effect=OSError):
+            assert _interpreter_version_matches("/usr/bin/python3") is False
 
 
 class TestFindUv:
@@ -383,6 +412,29 @@ def test_uses_uv_when_available(self, tmp_path):
         assert run_command.call_args[0][0][:2] == ["/usr/bin/uv", "venv"]
         assert cmd[:3] == ["/usr/bin/uv", "pip", "install"]
 
+    def test_asks_uv_for_a_matching_python_when_none_is_installed(self, tmp_path):
+        # AppImage on a host whose only python3 is too new for the torch wheels:
+        # uv downloads a managed CPython of the version Buzz itself runs.
+        env_dir = tmp_path / "cuda_env"
+        with patch("buzz.cuda_manager._find_uv", return_value="/usr/bin/uv"):
+            with patch("buzz.cuda_manager._get_base_python", return_value=None):
+                with patch("buzz.cuda_manager._run_command") as run_command:
+                    _create_cuda_env(env_dir)
+
+        assert run_command.call_args[0][0][:4] == [
+            "/usr/bin/uv",
+            "venv",
+            "--python",
+            get_python_version(),
+        ]
+
+    def test_raises_without_uv_or_a_matching_python(self, tmp_path):
+        env_dir = tmp_path / "cuda_env"
+        with patch("buzz.cuda_manager._find_uv", return_value=None):
+            with patch("buzz.cuda_manager._get_base_python", return_value=None):
+                with pytest.raises(RuntimeError, match="Could not find a Python"):
+                    _create_cuda_env(env_dir)
+
     def test_falls_back_to_the_venv_module(self, tmp_path):
         # The snap's Python has neither pip nor ensurepip, the Windows bundle
         # has both; only one of the two paths can work on a given platform.

From 13e9b29ab94e3f206d878558b304e8b1d6b0bf30 Mon Sep 17 00:00:00 2001
From: Raivis Dejus <orvils@gmail.com>
Date: Sat, 12 Sep 2026 18:50:46 +0300
Subject: [PATCH 31/35] Adding debug to whisper.cpp

---
 buzz/transcriber/whisper_cpp.py | 16 +++++++++++-----
 1 file changed, 11 insertions(+), 5 deletions(-)

diff --git a/buzz/transcriber/whisper_cpp.py b/buzz/transcriber/whisper_cpp.py
index 502653aefd..b400c8563b 100644
--- a/buzz/transcriber/whisper_cpp.py
+++ b/buzz/transcriber/whisper_cpp.py
@@ -196,8 +196,8 @@ def _build_command(task, file_to_process, language, vad_enabled) -> list:
         return cmd
 
     @staticmethod
-    def _run_whisper(cmd) -> int:
-        """Run whisper-cli subprocess and return the return code."""
+    def _run_whisper(cmd) -> tuple:
+        """Run whisper-cli subprocess, returning (return code, tail of stderr)."""
         if sys.platform == "win32":
             si = subprocess.STARTUPINFO()
             si.dwFlags |= subprocess.STARTF_USESHOWWINDOW
@@ -223,11 +223,14 @@ def _run_whisper(cmd) -> int:
                 errors="replace",
             )
 
+        stderr_tail = []
         for line in iter(process.stderr.readline, ''):
             sys.stderr.write(line)
+            stderr_tail.append(line)
+            del stderr_tail[:-20]
 
         process.wait()
-        return process.returncode
+        return process.returncode, "".join(stderr_tail)
 
     @staticmethod
     def _read_json_output(file_to_process: str) -> dict:
@@ -380,11 +383,14 @@ def transcribe(task: FileTranscriptionTask) -> List[Segment]:
         vad_enabled = os.path.exists(vad_model_path)
 
         cmd = WhisperCpp._build_command(task, file_to_process, language, vad_enabled)
-        return_code = WhisperCpp._run_whisper(cmd)
+        return_code, stderr_tail = WhisperCpp._run_whisper(cmd)
 
         if return_code != 0:
             WhisperCpp._cleanup_files(temp_file, None)
-            raise Exception(f"whisper-cli failed with return code {return_code}")
+            message = f"whisper-cli failed with return code {return_code}"
+            if stderr_tail.strip():
+                message = f"{message}\n{stderr_tail.strip()}"
+            raise Exception(message)
 
         try:
             result = WhisperCpp._read_json_output(file_to_process)

From 9625eae92666a70484b4b41660894c11a1b1dcfc Mon Sep 17 00:00:00 2001
From: Raivis Dejus <orvils@gmail.com>
Date: Sat, 12 Sep 2026 18:55:00 +0300
Subject: [PATCH 32/35] Adding popup for cida to appimages

---
 appimage/build-appimage.sh  |  5 +++++
 buzz/cuda_manager.py        | 20 ++++++++++++++++++-
 buzz/widgets/main_window.py |  2 +-
 tests/cuda_manager_test.py  | 40 +++++++++++++++++++++++++++++++++++++
 4 files changed, 65 insertions(+), 2 deletions(-)

diff --git a/appimage/build-appimage.sh b/appimage/build-appimage.sh
index 98cea212c8..7026a78936 100755
--- a/appimage/build-appimage.sh
+++ b/appimage/build-appimage.sh
@@ -103,6 +103,11 @@ cat > "$APPDIR/AppRun" << 'APPRUN'
 SELF="$(readlink -f "$0")"
 APPDIR="$(dirname "$SELF")"
 
+# The type-2 runtime already exports this; re-exporting keeps it correct for
+# an extracted AppDir too, so buzz/cuda_manager.py's is_appimage() can tell
+# that Buzz itself is the running bundle.
+export APPDIR
+
 export PATH="$APPDIR/usr/bin:$PATH"
 export LD_LIBRARY_PATH="$APPDIR/usr/bin:${LD_LIBRARY_PATH:-}"
 export QT_MEDIA_BACKEND=ffmpeg
diff --git a/buzz/cuda_manager.py b/buzz/cuda_manager.py
index 24582350c7..3f5ef1017b 100644
--- a/buzz/cuda_manager.py
+++ b/buzz/cuda_manager.py
@@ -74,12 +74,30 @@ def is_flatpak() -> bool:
     return "FLATPAK_ID" in os.environ
 
 
+def is_appimage() -> bool:
+    """Returns True if this Buzz is running from its own AppImage.
+
+    The type-2 runtime exports APPIMAGE (the .AppImage path) and APPDIR (the
+    mounted bundle). Testing APPIMAGE alone is not enough, for the same reason
+    as in is_snap(): any AppImage-packaged tool that launches Buzz leaks those
+    into the environment. Requiring the running executable to live inside
+    APPDIR ties the answer to *this* bundle.
+    """
+    appdir = os.environ.get("APPDIR")
+    if not appdir or "APPIMAGE" not in os.environ:
+        return False
+    try:
+        return Path(sys.executable).resolve().is_relative_to(Path(appdir).resolve())
+    except OSError:
+        return False
+
+
 def should_offer_cuda_prompt() -> bool:
     """Returns True on platforms where in-app CUDA installation is supported."""
     if sys.platform == "win32":
         return True
     if sys.platform == "linux":
-        return is_snap() or is_flatpak()
+        return is_snap() or is_flatpak() or is_appimage()
     return False
 
 
diff --git a/buzz/widgets/main_window.py b/buzz/widgets/main_window.py
index 51703c8173..35f51bd6cb 100644
--- a/buzz/widgets/main_window.py
+++ b/buzz/widgets/main_window.py
@@ -641,7 +641,7 @@ def _on_update_available(self, update_info: UpdateInfo):
         self.toolbar.set_update_available(True)
 
     def _maybe_show_cuda_prompt(self):
-        """On first launch (Windows/Snap/Flatpak), offer CUDA installation if an NVIDIA GPU is present."""
+        """On first launch (Windows/Snap/Flatpak/AppImage), offer CUDA installation if an NVIDIA GPU is present."""
         from buzz import cuda_manager
         is_nvidia_gpu_present = cuda_manager.is_nvidia_gpu_present()
 
diff --git a/tests/cuda_manager_test.py b/tests/cuda_manager_test.py
index 55d79889a7..ab2d9f5fe6 100644
--- a/tests/cuda_manager_test.py
+++ b/tests/cuda_manager_test.py
@@ -12,6 +12,7 @@
     get_cuda_env_site_packages,
     get_cuda_root_dir,
     is_cuda_torch_installed,
+    is_appimage,
     is_flatpak,
     is_nvidia_gpu_present,
     is_snap,
@@ -156,6 +157,35 @@ def test_returns_false_when_flatpak_env_not_set(self, monkeypatch):
         assert is_flatpak() is False
 
 
+def _fake_appimage(monkeypatch, tmp_path):
+    """Put a fake Buzz executable inside a fake mounted AppDir."""
+    appdir = tmp_path / "appdir"
+    executable = appdir / "usr" / "bin" / "Buzz"
+    executable.parent.mkdir(parents=True)
+    executable.touch()
+    monkeypatch.setenv("APPDIR", str(appdir))
+    monkeypatch.setenv("APPIMAGE", str(tmp_path / "Buzz.AppImage"))
+    monkeypatch.setattr(sys, "executable", str(executable))
+    return appdir
+
+
+class TestIsAppImage:
+    def test_returns_true_inside_own_appimage(self, monkeypatch, tmp_path):
+        _fake_appimage(monkeypatch, tmp_path)
+        assert is_appimage() is True
+
+    def test_returns_false_when_env_not_set(self, monkeypatch):
+        monkeypatch.delenv("APPDIR", raising=False)
+        monkeypatch.delenv("APPIMAGE", raising=False)
+        assert is_appimage() is False
+
+    def test_returns_false_for_another_appimage(self, monkeypatch, tmp_path):
+        """Another AppImage launching Buzz leaks APPIMAGE/APPDIR into the env."""
+        _fake_appimage(monkeypatch, tmp_path)
+        monkeypatch.setattr(sys, "executable", "/usr/bin/python3")
+        assert is_appimage() is False
+
+
 class TestShouldOfferCudaPrompt:
     def test_returns_true_on_windows(self, monkeypatch):
         monkeypatch.setattr(sys, "platform", "win32")
@@ -175,11 +205,21 @@ def test_returns_true_on_linux_flatpak(self, monkeypatch):
         monkeypatch.setenv("FLATPAK_ID", "io.github.chidiwilliams.buzz")
         assert should_offer_cuda_prompt() is True
 
+    def test_returns_true_on_linux_appimage(self, monkeypatch, tmp_path):
+        monkeypatch.setattr(sys, "platform", "linux")
+        monkeypatch.delenv("SNAP", raising=False)
+        monkeypatch.delenv("SNAP_NAME", raising=False)
+        monkeypatch.delenv("FLATPAK_ID", raising=False)
+        _fake_appimage(monkeypatch, tmp_path)
+        assert should_offer_cuda_prompt() is True
+
     def test_returns_false_on_linux_bare(self, monkeypatch):
         monkeypatch.setattr(sys, "platform", "linux")
         monkeypatch.delenv("SNAP", raising=False)
         monkeypatch.delenv("SNAP_NAME", raising=False)
         monkeypatch.delenv("FLATPAK_ID", raising=False)
+        monkeypatch.delenv("APPDIR", raising=False)
+        monkeypatch.delenv("APPIMAGE", raising=False)
         assert should_offer_cuda_prompt() is False
 
     def test_returns_false_on_macos(self, monkeypatch):

From 28cc0edcb7c77e3eddcc424e03ea0df516b0fbc3 Mon Sep 17 00:00:00 2001
From: Raivis Dejus <orvils@gmail.com>
Date: Sat, 12 Sep 2026 19:45:58 +0300
Subject: [PATCH 33/35] Fix for windows

---
 buzz/file_transcriber_queue_worker.py        | 14 +++++++--
 buzz/transcriber/whisper_file_transcriber.py | 32 ++++++++++++++++----
 2 files changed, 38 insertions(+), 8 deletions(-)

diff --git a/buzz/file_transcriber_queue_worker.py b/buzz/file_transcriber_queue_worker.py
index aa2ad1ee2d..be359e4dc7 100644
--- a/buzz/file_transcriber_queue_worker.py
+++ b/buzz/file_transcriber_queue_worker.py
@@ -664,7 +664,10 @@ def on_task_error(self, error: str):
 
     @pyqtSlot(tuple)
     def on_task_progress(self, progress: Tuple[int, int]):
-        if self.current.task is not None:
+        if (
+            self.current.task is not None
+            and self.current.task.uid not in self.canceled_tasks
+        ):
             self.task_progress.emit(self.current.task, progress[0] / progress[1])
 
     def on_task_download_progress(self, fraction_downloaded: float):
@@ -673,7 +676,14 @@ def on_task_download_progress(self, fraction_downloaded: float):
 
     @pyqtSlot(list)
     def on_task_completed(self, segments: List[Segment]):
-        if self.current.task is not None:
+        # A transcriber that raced past cancellation still emits ``completed``.
+        # Dropping it here keeps a canceled task from being overwritten as
+        # completed in the UI and the database.
+        if self.current.task is not None and self.current.task.uid in self.canceled_tasks:
+            logging.debug(
+                "Ignoring completion of canceled task %s", self.current.task.uid
+            )
+        elif self.current.task is not None:
             self.task_completed.emit(self.current.task, segments)
 
         if self.speech_path is not None:
diff --git a/buzz/transcriber/whisper_file_transcriber.py b/buzz/transcriber/whisper_file_transcriber.py
index 0fa1d42e5b..6ef1dd244e 100644
--- a/buzz/transcriber/whisper_file_transcriber.py
+++ b/buzz/transcriber/whisper_file_transcriber.py
@@ -16,7 +16,7 @@
 import subprocess
 from platformdirs import user_cache_dir
 from multiprocessing.connection import Connection
-from threading import Thread
+from threading import Lock, Thread
 from typing import Optional, List
 
 import tqdm
@@ -118,6 +118,12 @@ def __init__(
         self.recv_pipe = None
         self.send_pipe = None
         self.error_message = None
+        # Guards the ``stopped`` / ``started_process`` pair. Without it, a
+        # stop() landing while ``current_process.start()`` is still running
+        # (slow on Windows, which spawns a fresh interpreter) sees
+        # ``started_process`` still False, terminates nothing, and the
+        # transcription runs to completion despite being canceled.
+        self.process_lock = Lock()
 
     def transcribe(self) -> List[Segment]:
         time_started = datetime.datetime.now()
@@ -133,9 +139,19 @@ def transcribe(self) -> List[Segment]:
         self.current_process = multiprocessing.Process(
             target=self.transcribe_whisper, args=(self.send_pipe, self.transcription_task)
         )
-        if not self.stopped:
-            self.current_process.start()
-            self.started_process = True
+        with self.process_lock:
+            canceled_before_start = self.stopped
+            if not canceled_before_start:
+                self.current_process.start()
+                self.started_process = True
+
+        if canceled_before_start:
+            for pipe in (self.send_pipe, self.recv_pipe):
+                try:
+                    pipe.close()
+                except OSError:
+                    pass
+            raise Exception("Transcription was canceled")
 
         self.read_line_thread = Thread(target=self.read_line, args=(self.recv_pipe,))
         self.read_line_thread.start()
@@ -458,9 +474,13 @@ def patched_torch_load(*args, **kwargs):
         ]
 
     def stop(self):
-        self.stopped = True
+        with self.process_lock:
+            self.stopped = True
+            # Read under the lock so a start() in progress has finished (and
+            # published the pid) before we decide there is nothing to kill.
+            started_process = self.started_process
 
-        if self.started_process:
+        if started_process:
             # Kill the whisper-cli subprocess the worker spawned first. The
             # worker's own terminate() below does not reach it, so it would
             # otherwise keep running (orphaned) after Stop / app close.

From bd380bb7a4d1c365e2df70b2d1dfd2879fc25b25 Mon Sep 17 00:00:00 2001
From: Raivis Dejus <orvils@gmail.com>
Date: Sat, 12 Sep 2026 19:50:05 +0300
Subject: [PATCH 34/35] Will simplify cuda detection

---
 buzz/cuda_manager.py        |  7 ++---
 buzz/widgets/main_window.py |  8 ++++-
 tests/cuda_manager_test.py  | 60 +++++--------------------------------
 3 files changed, 16 insertions(+), 59 deletions(-)

diff --git a/buzz/cuda_manager.py b/buzz/cuda_manager.py
index 3f5ef1017b..c87672bd76 100644
--- a/buzz/cuda_manager.py
+++ b/buzz/cuda_manager.py
@@ -94,11 +94,8 @@ def is_appimage() -> bool:
 
 def should_offer_cuda_prompt() -> bool:
     """Returns True on platforms where in-app CUDA installation is supported."""
-    if sys.platform == "win32":
-        return True
-    if sys.platform == "linux":
-        return is_snap() or is_flatpak() or is_appimage()
-    return False
+    
+    return sys.platform in ("win32", "linux")
 
 
 def is_cuda_torch_installed() -> bool:
diff --git a/buzz/widgets/main_window.py b/buzz/widgets/main_window.py
index 35f51bd6cb..5056912317 100644
--- a/buzz/widgets/main_window.py
+++ b/buzz/widgets/main_window.py
@@ -641,7 +641,7 @@ def _on_update_available(self, update_info: UpdateInfo):
         self.toolbar.set_update_available(True)
 
     def _maybe_show_cuda_prompt(self):
-        """On first launch (Windows/Snap/Flatpak/AppImage), offer CUDA installation if an NVIDIA GPU is present."""
+        """On first launch (Windows/Linux), offer CUDA installation if an NVIDIA GPU is present."""
         from buzz import cuda_manager
         is_nvidia_gpu_present = cuda_manager.is_nvidia_gpu_present()
 
@@ -651,6 +651,12 @@ def _maybe_show_cuda_prompt(self):
             return
         if not cuda_manager.should_offer_cuda_prompt():
             return
+        # The packaged builds all ship CPU-only torch, so this only ever fires
+        # for a pip or source install where the user set up CUDA themselves.
+        # Offering them a second, shadowing torch would be worse than useless.
+        if cuda_manager.is_cuda_torch_installed():
+            logging.debug("CUDA torch already available; not offering the install")
+            return
         if self.settings.value(Settings.Key.CUDA_PROMPT_SHOWN, False):
             return
         self.settings.set_value(Settings.Key.CUDA_PROMPT_SHOWN, True)
diff --git a/tests/cuda_manager_test.py b/tests/cuda_manager_test.py
index ab2d9f5fe6..56cf5e4874 100644
--- a/tests/cuda_manager_test.py
+++ b/tests/cuda_manager_test.py
@@ -12,7 +12,6 @@
     get_cuda_env_site_packages,
     get_cuda_root_dir,
     is_cuda_torch_installed,
-    is_appimage,
     is_flatpak,
     is_nvidia_gpu_present,
     is_snap,
@@ -157,69 +156,24 @@ def test_returns_false_when_flatpak_env_not_set(self, monkeypatch):
         assert is_flatpak() is False
 
 
-def _fake_appimage(monkeypatch, tmp_path):
-    """Put a fake Buzz executable inside a fake mounted AppDir."""
-    appdir = tmp_path / "appdir"
-    executable = appdir / "usr" / "bin" / "Buzz"
-    executable.parent.mkdir(parents=True)
-    executable.touch()
-    monkeypatch.setenv("APPDIR", str(appdir))
-    monkeypatch.setenv("APPIMAGE", str(tmp_path / "Buzz.AppImage"))
-    monkeypatch.setattr(sys, "executable", str(executable))
-    return appdir
-
-
-class TestIsAppImage:
-    def test_returns_true_inside_own_appimage(self, monkeypatch, tmp_path):
-        _fake_appimage(monkeypatch, tmp_path)
-        assert is_appimage() is True
-
-    def test_returns_false_when_env_not_set(self, monkeypatch):
-        monkeypatch.delenv("APPDIR", raising=False)
-        monkeypatch.delenv("APPIMAGE", raising=False)
-        assert is_appimage() is False
-
-    def test_returns_false_for_another_appimage(self, monkeypatch, tmp_path):
-        """Another AppImage launching Buzz leaks APPIMAGE/APPDIR into the env."""
-        _fake_appimage(monkeypatch, tmp_path)
-        monkeypatch.setattr(sys, "executable", "/usr/bin/python3")
-        assert is_appimage() is False
-
-
 class TestShouldOfferCudaPrompt:
     def test_returns_true_on_windows(self, monkeypatch):
         monkeypatch.setattr(sys, "platform", "win32")
         assert should_offer_cuda_prompt() is True
 
-    def test_returns_true_on_linux_snap(self, monkeypatch):
-        monkeypatch.setattr(sys, "platform", "linux")
-        monkeypatch.setenv("SNAP", "/snap/buzz/current")
-        monkeypatch.setenv("SNAP_NAME", "buzz")
-        monkeypatch.delenv("FLATPAK_ID", raising=False)
-        assert should_offer_cuda_prompt() is True
-
-    def test_returns_true_on_linux_flatpak(self, monkeypatch):
-        monkeypatch.setattr(sys, "platform", "linux")
-        monkeypatch.delenv("SNAP", raising=False)
-        monkeypatch.delenv("SNAP_NAME", raising=False)
-        monkeypatch.setenv("FLATPAK_ID", "io.github.chidiwilliams.buzz")
-        assert should_offer_cuda_prompt() is True
-
-    def test_returns_true_on_linux_appimage(self, monkeypatch, tmp_path):
-        monkeypatch.setattr(sys, "platform", "linux")
-        monkeypatch.delenv("SNAP", raising=False)
-        monkeypatch.delenv("SNAP_NAME", raising=False)
-        monkeypatch.delenv("FLATPAK_ID", raising=False)
-        _fake_appimage(monkeypatch, tmp_path)
-        assert should_offer_cuda_prompt() is True
-
-    def test_returns_false_on_linux_bare(self, monkeypatch):
+    def test_returns_true_on_linux_regardless_of_packaging(self, monkeypatch):
+        # The installer works from a private venv, so a bare pip or source
+        # install is offered the same as a snap, Flatpak or AppImage.
         monkeypatch.setattr(sys, "platform", "linux")
         monkeypatch.delenv("SNAP", raising=False)
         monkeypatch.delenv("SNAP_NAME", raising=False)
         monkeypatch.delenv("FLATPAK_ID", raising=False)
         monkeypatch.delenv("APPDIR", raising=False)
         monkeypatch.delenv("APPIMAGE", raising=False)
+        assert should_offer_cuda_prompt() is True
+
+    def test_returns_false_on_macos(self, monkeypatch):
+        monkeypatch.setattr(sys, "platform", "darwin")
         assert should_offer_cuda_prompt() is False
 
     def test_returns_false_on_macos(self, monkeypatch):

From a0ffa3141c5813310c198190bea53638f4631467 Mon Sep 17 00:00:00 2001
From: Raivis Dejus <orvils@gmail.com>
Date: Sat, 12 Sep 2026 20:00:44 +0300
Subject: [PATCH 35/35] Adding checkmark to install button

---
 buzz/widgets/cuda_installer_widget.py | 7 +++++++
 1 file changed, 7 insertions(+)

diff --git a/buzz/widgets/cuda_installer_widget.py b/buzz/widgets/cuda_installer_widget.py
index 7202d70410..0eca1b56f5 100644
--- a/buzz/widgets/cuda_installer_widget.py
+++ b/buzz/widgets/cuda_installer_widget.py
@@ -15,6 +15,7 @@
     QProgressBar,
     QTextEdit,
     QWidget,
+    QStyle,
 )
 
 from buzz.locale import _
@@ -92,10 +93,15 @@ def __init__(self, parent: Optional[QWidget] = None):
 
         button_layout = QHBoxLayout()
         self.install_button = QPushButton(_("Install GPU Support"))
+        self.install_button.setIcon(
+            self.style().standardIcon(QStyle.StandardPixmap.SP_DialogApplyButton)
+        )
         self.install_button.setDefault(True)
+        self.install_button.setAutoDefault(True)
         self.install_button.clicked.connect(self._on_install_clicked)
 
         self.decline_button = QPushButton(_("Not Now"))
+        self.decline_button.setAutoDefault(False)
         self.decline_button.clicked.connect(self.reject)
 
         button_layout.addStretch()
@@ -130,6 +136,7 @@ def _on_finished(self):
             _("Installation complete! Restart Buzz to enable GPU acceleration.")
         )
         self.install_button.setText(_("Close"))
+        self.install_button.setIcon(QIcon())
         self.install_button.setEnabled(True)
         self.install_button.clicked.disconnect()
         self.install_button.clicked.connect(self.accept)