--- title: Food Manu Extractor & Frontend emoji: 🏆 colorFrom: red colorTo: gray sdk: docker pinned: false license: mit --- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference # 🍽️ Menu Extractor & Food Image Generator An AI-powered web application that extracts menu items from restaurant menu images and generates beautiful food images for each item using advanced machine learning models. ## 🌟 Features - **📸 Menu Image Upload**: Upload menu images or capture them directly using your camera - **🤖 AI Menu Extraction**: Uses Google's Gemini AI to extract menu items, descriptions, and prices - **🎨 Food Image Generation**: Generates high-quality food images using Stable Diffusion - **💻 Beautiful Frontend**: Modern, responsive web interface with live preview - **📱 Mobile Friendly**: Works seamlessly on desktop and mobile devices - **🔄 Code Generation**: Automatically generates clean HTML code for the extracted menu ## 🚀 Demo Try the live demo: [Menu Extractor & Food Generator](https://huggingface.co/spaces/your-username/menu-extractor) ## 🛠️ Technology Stack - **Backend**: Flask (Python) - **AI Models**: - Google Gemini 1.5 Flash (Menu extraction) - Stable Diffusion v1.5 (Image generation) - **Frontend**: HTML, CSS, JavaScript - **Image Processing**: Pillow (PIL) - **Deployment**: Hugging Face Spaces ## 📋 Requirements - Python 3.9+ - CUDA-compatible GPU (recommended for faster image generation) - Google Gemini API key ## 🔧 Installation 1. Clone the repository: ```bash git clone https://github.com/your-username/menu-extractor.git cd menu-extractor ``` 2. Install dependencies: ```bash pip install -r requirements.txt ``` 3. Set up environment variables: Create a `.env` file and add your Gemini API key: ``` GEMINI_API_KEY=your_gemini_api_key_here ``` 4. Run the application: ```bash python app.py ``` 5. Open your browser and navigate to `http://localhost:7860` ## 🌐 Deployment on Hugging Face Spaces 1. Create a new Space on [Hugging Face Spaces](https://huggingface.co/spaces) 2. Choose "Docker" as the SDK 3. Upload the following files: - `app.py` - `templates/index.html` - `Dockerfile` - `requirements.txt` - `README.md` 4. Add your `GEMINI_API_KEY` in the Space settings under "Variables and secrets" 5. Your app will be automatically deployed! ## 📖 How to Use 1. **Upload Image**: Choose to upload a menu image from your device or take a photo using your camera 2. **Extract Menu**: Click "Extract Menu Items" to process the image with AI 3. **View Results**: See the beautiful menu layout with generated food images 4. **Get Code**: Switch to code view to copy the generated HTML for your own use ## 🎯 Use Cases - **Restaurant Owners**: Quickly digitize physical menus - **Web Developers**: Generate menu websites for restaurant clients - **Food Bloggers**: Create visual menu content - **Menu Design**: Prototype digital menu layouts ## 🔑 API Keys Setup ### Google Gemini API 1. Visit [Google AI Studio](https://makersuite.google.com/) 2. Create a new API key 3. Add it to your environment variables as `GEMINI_API_KEY` ## ⚡ Performance Notes - **CPU Mode**: Image generation will be slower but still functional - **GPU Mode**: Significantly faster image generation with CUDA-compatible GPU - **Memory**: Requires ~4GB RAM for optimal performance ## 🐛 Troubleshooting ### Common Issues: 1. **Model Loading Error**: Ensure you have sufficient disk space and memory 2. **API Key Error**: Verify your Gemini API key is correctly set 3. **Image Processing Error**: Check that uploaded images are in supported formats (JPG, PNG) ## 📄 License This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details. ## 🤝 Contributing Contributions are welcome! Please feel free to submit a Pull Request. 1. Fork the project 2. Create your feature branch (`git checkout -b feature/AmazingFeature`) 3. Commit your changes (`git commit -m 'Add some AmazingFeature'`) 4. Push to the branch (`git push origin feature/AmazingFeature`) 5. Open a Pull Request ## 🙏 Acknowledgments - [Google Gemini](https://deepmind.google/technologies/gemini/) for menu extraction - [Stable Diffusion](https://stability.ai/) for food image generation - [Hugging Face](https://huggingface.co/) for hosting and deployment - [Flask](https://flask.palletsprojects.com/) for the web framework ## 📞 Support If you encounter any issues or have questions, please [open an issue](https://github.com/your-username/menu-extractor/issues) on GitHub. --- Made with ❤️ by [Your Name](https://github.com/your-username)