Interactive PDF Reader with Conversational AI

This application allows users to upload a PDF document and ask questions about its content through a conversational AI interface. The AI uses document embeddings and a conversational retrieval chain to provide intelligent answers based on the contents of the uploaded PDF.

Features

• PDF Upload & Processing: Users can upload a PDF document, which is processed by an AI model that extracts and indexes the content for question-answering.
• Conversational AI: Leveraging LangChain's conversational retrieval chain, users can ask questions about the PDF, and the AI will retrieve relevant sections to generate an appropriate response.
• Chat Interface: A user-friendly chat interface for interacting with the AI.

How It Works

• Upload a PDF: Use the provided file uploader to select the PDF document.
• Process the PDF: Once uploaded, click the "Process" button to extract and index the content.
• Ask Questions: Type your question in the input box, and the AI will retrieve relevant information from the PDF to answer your question.
• Review Results: The app will display both the conversational response and the related pages from the PDF.

Technologies Used

• Streamlit: For the web application interface.
• LangChain: For building conversational chains and document embeddings.
• HuggingFace Embeddings: To create text embeddings from the document for better retrieval accuracy.
• Chroma: As a vector store for indexing the document embeddings.
• PyPDF2: For reading and parsing PDF files.

Installation

To run this app locally, follow these steps:

• Clone this repository:

git clone https://github.com/cystema/pdf-reader-langchain-streamlit.git
cd pdf-reader-langchain-streamlit.git

• Create a virtual environment and activate it:

python -m venv venv
source venv/bin/activate 

• Install the required dependencies:

pip install -r requirements.txt

• Run the Streamlit app:

streamlit run app.py