QA bot for local PDF files

Overview

This repository contains a Proof of Concept (PoC) for a Q&A chatbot. The bot is designed to extract and answer questions from information found in local PDF files. It leverages the GPT API, Langchain, and a Gradio frontend.

For a deeper understanding of how Q&A bots function across various types of documents, we highly recommend reading How do domain-specific chatbots work? An Overview of Retrieval Augmented Generation (RAG)

Structure overview

├── figs
│
├── dev_nbs
│   └── pdf.ipynb
│
├── src
│   ├── custom_chatbot.py
│   └── custom_files.py
│
├── app.py  # gradio app
│
└── README.md

Quick start

Clone the repository:

git clone https://github.com/Leroy-Seafood-Group/fish-my-pdfs.git
cd fish-my-pdfs

Install Required Packages

pip install -r requirements.txt

Add OpenAI API Key

See best practices for API key safety: https://help.openai.com/en/articles/5112595-best-practices-for-api-key-safety

Run the Gradio App

Launch the Gradio application

python app.py

Optional:

Run the application directly in the notebook