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title: AI One-Pager Generator | |
emoji: π | |
colorFrom: blue | |
colorTo: purple | |
sdk: gradio | |
sdk_version: "4.44.0" | |
app_file: app.py | |
pinned: false | |
license: mit | |
suggested_hardware: t4-medium | |
suggested_storage: small | |
# π AI One-Pager Generator | |
An intelligent Gradio application that generates professional one-page documents on any topic using Hugging Face transformers. | |
## Features | |
- **Topic-based Generation**: Create one-pagers on any subject | |
- **Customizable Parameters**: | |
- Target audience specification | |
- Tone selection (Professional, Casual, Academic, Persuasive, Informative) | |
- Length control (Short, Medium, Long) | |
- Key points input | |
- **Professional Formatting**: Structured output with title, executive summary, key points, and conclusion | |
- **Easy to Use**: Simple web interface powered by Gradio | |
## Installation | |
1. Clone this repository | |
2. Install dependencies: | |
```bash | |
pip install -r requirements.txt | |
``` | |
3. Run the application: | |
```bash | |
python app.py | |
``` | |
## Usage | |
1. Enter your topic in the "Topic" field | |
2. Specify your target audience | |
3. List key points you want covered | |
4. Select the appropriate tone and length | |
5. Click "Generate One-Pager" | |
6. Copy and use your generated document! | |
## Deployment to Hugging Face Spaces | |
This app is ready to be deployed to Hugging Face Spaces: | |
1. Create a new Space on Hugging Face | |
2. Upload these files to your Space | |
3. Your app will be automatically deployed! | |
## Model Information | |
This application uses Qwen 2.5-7B-Instruct locally, plus MCP (Model Context Protocol) client support for connecting to external AI services like Claude and OpenAI. This hybrid approach provides both privacy (local) and enhanced capabilities (MCP). | |
**Models Available:** | |
- **Local**: Qwen 2.5-7B-Instruct (fallback to 1.5B on free tier) | |
- **MCP-Claude**: Connect to Anthropic's Claude via MCP | |
- **MCP-OpenAI**: Connect to OpenAI's models via MCP | |
**Note**: Local models work offline and are private. MCP models require API access but offer enhanced capabilities. | |
## License | |
MIT License |