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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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-
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  ![](assets/demo.png)
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-
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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.
@@ -12,38 +21,17 @@ This project is a Legal Chatbot powered by Large Language Models (LLM) and RAG m
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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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-
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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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-
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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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-
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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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-
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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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-
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  ## License
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  This project is under [MIT Licence](LICENSE)
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-
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  ## Contact
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  For any inquiries or feedback, please contact [Izam mohammed] at [[email protected]].
 
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+ ---
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+ license: mit
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+ title: Legal Advisor
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+ emoji: πŸ“š
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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 [[email protected]].