Overview

Welcome to the PDF-Chatbot! This application is designed to help you get insights from your PDF documents through an interactive chat interface. Powered by the open-source Llama Index and HuggingFace models, this tool allows you to upload a PDF and ask questions about its content, providing accurate and context-aware responses.

Features

• PDF Upload: Easily upload your PDF documents for processing.
• Interactive Chat: Ask questions about the content of the uploaded PDF and receive detailed answers.
• Open-Source Models: Utilizes state-of-the-art open-source models from HuggingFace for natural language processing and embeddings.

Installation

1. Clone the Repository

   git clone https://github.com/prdowluri/PDF-Chatbot.git
   cd PDF-Chatbot

2. Install Dependencies Ensure you have Python 3.7 or higher. Then install the required Python packages:

   pip install -r requirements.txt

3. Run the Application

   streamlit run app.py

Usage

Visit the project's website : PDF-Chatbot

1. Upload a PDF

   • Click on the "Upload your PDF and Click Submit" button in the sidebar.
   • Choose your PDF file and click "Submit".

2. Ask Questions

   • Use the chat input at the bottom to ask any questions related to the content of the uploaded PDF.
   • The assistant will provide accurate responses based on the document content.

Contributing

Contributions are welcome! If you have suggestions or improvements, please create an issue or submit a pull request.

License

This project is open-source and licensed under the MIT License.

Acknowledgements

• HuggingFace for providing the powerful NLP models.
• Llama Index for the indexing and querying capabilities.

Contact

For any inquiries or support, reach out to Prudhvi Raj Dowluri.