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---
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:
```bash
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](LICENSE)
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