README.md

metadata

title: NoteGenie
emoji: 📔
colorFrom: red
colorTo: pink
sdk: docker
pinned: false
license: mit
short_description: ipynb file generator using Gemini models to create notebooks

NoteGenie

NoteGenie is an AI-powered Jupyter notebook generator that uses Google's Gemini models to create and edit notebooks from text prompts.

Features

• Generate complete Jupyter notebooks with a text prompt
• Edit existing notebooks with text instructions
• Preview notebooks in the web interface
• Download notebooks as .ipynb files
• Streaming responses for a better user experience

Deployment on Hugging Face Spaces

1. Create a new Space on Hugging Face
2. Choose Docker template
3. Upload this repository to the Space
4. Set the following environment variables in your Space settings:
   • SECRET_KEY: A secure random string for Flask sessions
   • PORT: 7860 (default for Hugging Face Spaces)

Local Development

1. Install dependencies:

   pip install -r requirements.txt
   

2. Run the application:

   python app.py
   

3. Open http://localhost:5000 in your browser

Using Docker

Build and run the Docker container:

docker build -t notegenie .
docker run -p 7860:7860 -e SECRET_KEY=your_secret_key notegenie

Environment Variables

• SECRET_KEY: Secret key for Flask session encryption
• PORT: Port to run the application on (defaults to 5000 locally, 7860 for Hugging Face)
• FLASK_ENV: Set to "development" for debug mode, "production" for production

API Key Setup

NoteGenie requires a Google Gemini API key. Users can set their own API key in the web interface.

License

MIT License