pdf-chat-assistant

A Streamlit web app that enables users to upload a PDF and interactively query its contents using language models and embeddings.

Table of Contents

• Introduction
• Features
• Installation
• Usage
• Requirements
• Contribution
• License
• Contact

Introduction

pdf-chat-assistant is a tool for generating executive summaries and extracting information from PDF documents through natural language questions. Users can upload a PDF and ask questions; the app will provide AI-generated answers based strictly on the document's context.

Features

• Upload and process PDF documents
• Extract text, split into chunks, and embed them for efficient search
• Query the document using natural language and get accurate, context-based answers
• Built with Streamlit for a simple, responsive web UI
• Uses HuggingFace embeddings, FAISS vector store, and LangChain for advanced retrieval

Installation

# Clone the repository
https://github.com/lavya30/pdf-chat-assistant.git
cd pdf-chat-assistant

# (Optional) Create a new virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt

Usage

streamlit run streamlit_app.py

• Open your browser to the local Streamlit address provided in the terminal.
• Upload a PDF in the app. Enter your queries in the textbox.

Requirements

See requirements.txt for all packages, including:

• streamlit
• langchain
• langchain-community
• langchain-groq
• faiss-cpu
• sentence-transformers
• python-dotenv
• pypdf

Contribution

Contributions are welcome! Feel free to fork this repo, open issues, or submit pull requests.

License

MIT License

Contact

Maintainer: lavya30
GitHub: https://github.com/lavya30