🎨 AI Artist Web App

A simple yet powerful web application that transforms your photos into artistic masterpieces using Neural Style Transfer (NST).

This project uses a client-server architecture:

• The frontend is a lightweight HTML/JavaScript page for image upload and display.
• The backend is a Python Flask server that uses a pre-trained VGG19 model in TensorFlow to apply style transfer.

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🚀 Features

• Upload a content image (photo).
• Upload a style image (painting).
• Generate an artistic masterpiece combining both.
• Simple browser-based frontend.
• Backend runs with ngrok for public access.

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⚙️ How It Works

1. Frontend (frontend.html)

   • User uploads a content photo and a style painting.
   • Browser sends these images to the backend server.

2. Backend (app.py)

   • Flask receives the images.
   • Pre-trained VGG19 model extracts content and style features.
   • An optimization loop generates a new image that minimizes:
     • Content loss (similarity to photo).
     • Style loss (similarity to painting).

3. API Response

   • Backend returns the final stylized image.
   • Frontend displays the masterpiece to the user.

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🖥️ Installation & Setup

git clone https://github.com/your-username/ai-artist-web-app.git
cd ai-artist-web-app


The backend performs heavy computation and is best run in an environment with a GPU for acceptable performance.

Get an ngrok Authtoken: The app.py script uses ngrok to create a public URL for the server. You will need a free account and an authtoken.

Sign up at https://dashboard.ngrok.com/signup.

Find your authtoken at https://dashboard.ngrok.com/get-started/your-authtoken.

Configure app.py: Open the app.py script in an editor.

Add Your Authtoken: Paste your ngrok authtoken into the NGROK_AUTH_TOKEN variable at the top of the script.

Execute the Script: Run the app.py script from your terminal: