Multiple PDF Chat

This project enables users to chat with multiple PDF documents using Streamlit. It utilizes various libraries for text processing and conversation handling.

Features:

• PDF Text Extraction: Extracts text from uploaded PDF documents.
• Text Chunking: Splits the extracted text into small, manageable chunks.
• Embeddings Creation: Generates embeddings for each text chunk using OpenAI embeddings.
• Conversational Chain: Establishes a conversational chain for handling user queries based on the processed PDF content.

How to Use:

1. Upload PDFs: Upload your PDF documents via the file uploader in the sidebar.
2. Ask Questions: Enter your questions about the uploaded documents in the text input box.
3. Conversation: Receive responses based on the content of the documents.

Usage:

• The main functionality is encapsulated in the main() function.
• PDF text extraction, chunking, embeddings creation, and conversation chain establishment are handled through separate functions.
• The user interface is built using Streamlit, allowing for intuitive interaction with the application.

Dependencies:

• Streamlit
• PyPDF2
• dotenv
• langchain
• langchain_openai
• FAISS

How to Run:

1. Ensure all dependencies are installed (pip install -r requirements.txt).
2. Run the script (streamlit run app.py).
3. Access the application through the provided URL.

Feel free to explore and enhance the capabilities of this project!