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Update README.md
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README.md
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## Overview
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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.
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![](assets/demo.png)
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## Features
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- Utilizes LLM for natural language understanding and generation.
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- Integrates vector databases for efficient retrieval of legal information.
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- Allows users to ask questions related to legal terms and concepts.
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- Provides accurate and concise responses to user queries.
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- User-friendly interface for seamless interaction.
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## Usage
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1. Clone the repository to your local machine.
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2. Install the required dependencies specified in the `requirements.txt` file.
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3. Run the main script to start the chatbot.
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4. Enter your legal queries and interact with the chatbot to receive responses.
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## Technologies Used
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- Large Language Models (LLM)
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- Vector Databases
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- RAG (Retrieval-Augmented Generation) Model
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- Python
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## Installation
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```bash
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git clone https://github.com/your_username/legal-chatbot.git
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cd legal-chatbot
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pip install -r requirements.txt
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python app.py
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```
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## Contributing
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Contributions are welcome! If you'd like to contribute to this project, please follow these steps:
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1. Fork the repository.
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2. Create a new branch (`git checkout -b feature/improvement`).
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3. Make your changes.
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4. Commit your changes (`git commit -am 'Add new feature'`).
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5. Push to the branch (`git push origin feature/improvement`).
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6. Create a new Pull Request.
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## License
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This project is under [MIT Licence](LICENSE)
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## Contact
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For any inquiries or feedback, please contact [Izam mohammed] at [izamdeveloper1@gmail.com].
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---
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license: mit
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title: Legal Advisor
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emoji: π
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colorFrom: gray
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colorTo: blue
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pinned: true
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sdk: streamlit
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app_file: app.py
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short_description: A chatbot for asking Legal related information using Llama 2
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---
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# Legal Chatbot LLM
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## Overview
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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.
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![](assets/demo.png)
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## Features
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- Utilizes LLM for natural language understanding and generation.
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- Integrates vector databases for efficient retrieval of legal information.
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- Allows users to ask questions related to legal terms and concepts.
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- Provides accurate and concise responses to user queries.
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- User-friendly interface for seamless interaction.
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## Usage
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1. Clone the repository to your local machine.
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2. Install the required dependencies specified in the `requirements.txt` file.
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3. Run the main script to start the chatbot.
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4. Enter your legal queries and interact with the chatbot to receive responses.
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## Technologies Used
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- Large Language Models (LLM)
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- Vector Databases
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- RAG (Retrieval-Augmented Generation) Model
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- Python
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## License
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This project is under [MIT Licence](LICENSE)
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## Contact
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For any inquiries or feedback, please contact [Izam mohammed] at [izamdeveloper1@gmail.com].
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