🦙 Llama Local Chatbot

Llama Local Chatbot is a robust chatbot solution designed for seamless integration with local data. Built using the advanced Ollama Model 3.2, it combines cutting-edge natural language processing capabilities with a user-friendly interface to deliver accurate and context-aware responses from your data.

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🚀 Features

• Local Data Integration: Leverages your data to provide tailored responses specific to your needs.
• Powered by Ollama Model 3.2: Incorporates state-of-the-art AI for natural, human-like conversations.
• Fast & Private: Processes locally, ensuring speed and privacy.
• Customizable: Easily adaptable to different datasets and use cases.

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🛠️ Installation

1. Clone the Repository

   git clone https://github.com/yasir23/llama_local_chatbot.git
   cd llama_local_chatbot

2. Install Dependencies Ensure you have Python installed, then run:

   pip install -r requirements.txt

3. Set Up Your Data

   • Place your local data files (e.g., .csv, .txt, .json) in the data/ directory.
   • Update the configuration file (config.yaml) to point to your data sources.

4. Run the Chatbot Launch the chatbot with:

   python app.py

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💡 Usage

1. Start the chatbot by running the command above.
2. Open your browser and navigate to the chatbot interface (e.g., http://localhost:5000).
3. Interact with the chatbot by asking questions related to your data!

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📂 Project Structure

llama_local_chatbot/
├── data/               # Local data files
├── models/             # Pre-trained Ollama model
├── app.py              # Main application script
├── requirements.txt    # Python dependencies
├── config.yaml         # Configuration file
└── README.md           # Project documentation

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🤖 About Ollama Model 3.2

Ollama Model 3.2 is an advanced NLP model designed for conversational AI. It offers exceptional capabilities in:

• Natural language understanding
• Contextual reasoning
• Multi-turn conversations

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📈 Use Cases

• Customer support bots tailored to local data
• Internal knowledge base access for teams
• Educational tools powered by specific datasets
• Personalized assistants for various industries

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🧑‍💻 Contributing

We welcome contributions! Feel free to:

1. Fork the repository.
2. Create a new branch (git checkout -b feature/new-feature).
3. Commit your changes (git commit -m "Add new feature").
4. Push the branch (git push origin feature/new-feature).
5. Open a pull request.

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🛡️ License

This project is licensed under the MIT License. Feel free to use, modify, and distribute as per the terms.

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💬 Questions or Feedback?

For questions, suggestions, or feedback, please open an issue or reach out at Yasir Mushtaq.

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🌟 Don't forget to give this project a star if you found it helpful!