README.md

---
title: Testing Lesson Plan
emoji: 🚀
colorFrom: red
colorTo: red
sdk: docker
app_port: 8501
tags:
- streamlit
pinned: false
short_description: Streamlit template space
---

# Welcome to Streamlit!

Edit `/src/streamlit_app.py` to customize this app to your heart's desire. :heart:

If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
forums](https://discuss.streamlit.io).

# Lesson Plan Generator

A Streamlit application that generates comprehensive lesson plans using Google's Gemini AI.

## Setup

1. Clone this repository
2. Install the required packages:
   ```bash
   pip install -r requirements.txt
   ```

## API Key Setup

### Local Development
1. Create a `.env` file in the root directory
2. Add your Google AI API key:
   ```
   GOOGLE_API_KEY=your_api_key_here
   ```

### Hugging Face Spaces Deployment
1. Go to your Space's settings
2. Navigate to the "Repository secrets" section
3. Add a new secret:
   - Name: `Gemini_API_key`
   - Value: Your Google AI API key

## Running the Application

### Local Development
```bash
streamlit run app.py
```

### Hugging Face Spaces
The application will automatically use the API key from the Space's secrets.

## Features
- Generate comprehensive lesson plans
- Automatic generation of learning objectives based on Bloom's Taxonomy
- Customizable lesson parameters
- Download lesson plans in text format

## Deployment

This app is designed to be deployed on Hugging Face Spaces. The repository includes all necessary configuration files for deployment.

## Contributing

Feel free to submit issues and enhancement requests!