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| license: mit | |
| title: Legal Advisor | |
| emoji: 📚 | |
| colorFrom: gray | |
| colorTo: blue | |
| pinned: true | |
| sdk: streamlit | |
| app_file: app.py | |
| short_description: A chatbot for asking Legal related information using Llama 2 | |
| # Legal Chatbot LLM | |
| ## Overview | |
| This project is a Legal Chatbot powered by Large Language Models (LLM) and RAG model. It allows users to ask questions related to legal terms and receive accurate responses. The chatbot utilizes a RAG (Retrieval-Augmented Generation) model to enhance its performance. | |
|  | |
| ## Features | |
| - Utilizes LLM for natural language understanding and generation. | |
| - Integrates vector databases for efficient retrieval of legal information. | |
| - Implements a RAG model to combine retrieval and generation approaches for improved responses. | |
| - Allows users to ask questions related to legal terms and concepts. | |
| - Provides accurate and concise responses to user queries. | |
| - User-friendly interface for seamless interaction. | |
| ## Usage | |
| 1. Clone the repository to your local machine. | |
| 2. Install the required dependencies specified in the `requirements.txt` file. | |
| 3. Run the main script to start the chatbot. | |
| 4. Enter your legal queries and interact with the chatbot to receive responses. | |
| ## Technologies Used | |
| - Large Language Models (LLM) | |
| - Vector Databases | |
| - RAG (Retrieval-Augmented Generation) Model | |
| - Python | |
| ## License | |
| This project is under [MIT Licence](LICENSE) | |
| ## Contact | |
| For any inquiries or feedback, please contact [Izam mohammed] at [izamdeveloper1@gmail.com]. |