NeuroStyle is a neural style transfer web application built with Streamlit and PyTorch. It allows users to blend the content of one image with the artistic style of another — creating beautiful, AI-generated art in just seconds!

Neural Style Transfer uses deep learning to apply the visual style of one image (typically artwork) to the content of another (such as a photograph), producing a new image that merges both.

• 📁 Upload your own content and style images
• 🖼 Use built-in sample images
• 🎛 Adjust style intensity with an interactive slider
• ⚡ Fast processing with pretrained VGG-19 model
• 💾 Download the final stylized image

• Python
• Streamlit
• PyTorch
• torchvision
• Pillow

1. Clone the repository

   git clone https://github.com/yourusername/neurostyle.git
   cd neurostyle
   

2. Create and activate a virtual environment

   python -m venv venv
   source venv/bin/activate        
    

3. Install dependencies

   pip install -r requirements.txt
   

4. Run the app

   streamlit run Style.py
   

If no images are uploaded, the app defaults to: image.jpg – content image demo.jpg – style image These are loaded automatically when the "Use Sample Images" toggle is on.

Project Structure

├── Style.py            # Main Streamlit app
├── image.jpg           # Default content image
├── demo.jpg            # Default style image
├── requirements.txt    # Dependencies
├── README.md           # Documentation
└── .gitignore          # Git ignore rules