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license: mit | |
title: Legal Advisor | |
emoji: π | |
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. | |
![](assets/demo.png) | |
## 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]. |