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| title: LegalLLaMa | |
| emoji: 🦙 | |
| colorFrom: yellow | |
| colorTo: blue | |
| sdk: streamlit | |
| sdk_version: 1.25.0 | |
| app_file: app.py | |
| pinned: false | |
| license: gpl-3.0 | |
| # LegalLLaMa 🦙 (*WORK IN PROGRESS*) | |
| LegalLLaMa: Your friendly neighborhood lawyer llama, turning legal jargon into a piece of cake! | |
| Legal LLaMa is a chatbot developed to provide summaries of U.S. legislative bills based on user queries. It's built using the Hugging Face's Transformers library, and is hosted using Streamlit on Hugging Face Spaces. | |
| You can interact with the live demo of Legal LLaMa on Hugging Face Spaces [here](https://huggingface.co/spaces/LLaMaWhisperer/legalLLaMa). | |
| The chatbot uses a frame-based dialog management system to handle conversations, and leverages the ProPublica and Congress APIs to fetch information about legislative bills. The summaries of bills are generated using a state-of-the-art text summarization model. | |
| ## Features 🎁 | |
| - Frame-based dialog management | |
| - Intent recognition and slot filling | |
| - Real-time interaction with users | |
| - Bill retrieval using ProPublica and Congress APIs | |
| - Bill summarization using Transformer models | |
| ## Future Work 💡 | |
| Legal LLaMa is still a work in progress, and there are plans to make it even more useful and user-friendly. Here are some of the planned improvements: | |
| - Enhance intent recognition and slot filling using Natural Language Understanding (NLU) models | |
| - Expand the chatbot's capabilities to handle more tasks, such as providing summaries of recent bills by a particular congressman | |
| - Train a custom summarization model specifically for legislative texts | |
| ## Getting Started 🚀 | |
| To get the project running on your local machine, follow these steps: | |
| 1. Clone the repository: | |
| ```commandline | |
| git clone https://github.com/YuvrajSharma9981/LegalLLaMa.git | |
| ``` | |
| 2. Install the required packages: | |
| ```commandline | |
| pip install -r requirements.txt | |
| ``` | |
| 3. Run the Streamlit app: | |
| ```commandline | |
| streamlit run app.py | |
| ``` | |
| Please note that you will need to obtain API keys from ProPublica and Congress to access their APIs. | |
| ## Contributing 🤝 | |
| Contributions to improve Legal LLaMa are welcomed. Feel free to submit a pull request or create an issue for any bugs, feature requests, or questions about the project. | |
| ## License 📄 | |
| This project is licensed under the GPL-3.0 License - see the [LICENSE](LICENSE) file for details. | |