🤖 DataSciencePilot 🚀

DataSciencePilot is an innovative chat-based interface designed to interact with custom PDF files. It leverages the power of Pinecone for efficient vector database management and LLaMA-2 for advanced query response capabilities. This combination allows users to easily extract and analyze information from PDF documents through a conversational interface.

Features ✨

• Chat Interface: Interact with your PDF files through a user-friendly chat interface.
• Pinecone Integration: Utilizes Pinecone's vector database for efficient data handling and retrieval.
• LLaMA-2 Powered: Harnesses the advanced natural language processing capabilities of LLaMA-2 for accurate and relevant responses.
• PDF Support: Seamlessly works with custom PDF files for data extraction and analysis.

Getting Started 🚀

To get started with DataSciencePilot, follow these simple steps:

1. Clone the Repository: Clone this repository to your local machine.

   git clone https://github.com/kowshik24/DataSciencePilot.git
   

2. Download the model: Download the model from huggingface from here: https://huggingface.co/TheBloke/Llama-2-7B-Chat-GGML/blob/main/llama-2-7b-chat.ggmlv3.q4_0.bin then place it in the model folder. And on the app.py file change the model path to the path of the model you just downloaded.

   llm=CTransformers(model="model/llama-2-7b-chat.ggmlv3.q4_0.bin")

3. Create a Virtual Environment: Create a virtual environment using the following command:

   python3 -m venv env

4. Activate the Virtual Environment: Activate the virtual environment using the following command:

   source env/bin/activate

5. Install Dependencies: Install the required dependencies using the following command:

   pip install -r requirements.txt

6. .env File: Create a .env file in the root directory of the project and add the following environment variables:

   PINECONE_API_KEY=<your-pinecone-api-key>
   PINECONE_API_ENV=<your-pinecone-api-env>
   PINECONE_INDEX_NAME=<your-pinecone-index-name>

7. Run the Application: Run the application using the following command:

    python app.py

8. Open the Application: Open the application in your browser using the following URL:

   http://localhost:5120/

📹 Demo and Screenshots

📸 Screenshots

Sample Visualization 1	Sample Visualization 2

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📞 Contact Information For support, feedback, or contributions, please reach out to:

• 📧 Email: [email protected]
• 📱 Phone: 01706 896161
• 🌐 Website: https://kowshik24.github.io/kowshik.github.io/
• 🚀 GitHub: Kowshik Deb Nath
• 🤝 LinkedIn: Kowshik Deb Nath

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