PDF Question Answering Agent

This project implements a FastAPI-based web service that allows users to upload PDF documents, ask questions about the content, and receive answers posted to Slack.

• PDF upload and processing
• Question answering based on PDF content
• Posting results to Slack
• FastAPI web service with Swagger UI

• Python 3.8+
• FastAPI
• OpenAI API
• PyPDF2
• Slack SDK

1. Clone the repository:

   git clone https://github.com/whiletruelearn/pdf-chat.git
   cd pdf-chat
   

2. Install the required packages:

   pip install -r requirements.txt
   

3. Set up environment variables:

   export OPENAI_API_KEY=your_openai_api_key
   export SLACK_HOOK=your_slack_webhook_key
   

1. Start the FastAPI server:

   python src/main.py
   

2. Open your browser and navigate to http://localhost:8000/docs to access the Swagger UI.

3. Use the /upload-pdf endpoint to upload a PDF file.

4. Use the /answer-questions endpoint to submit questions and get answers based on the uploaded PDF content.

• POST /upload-pdf: Upload a PDF file for processing. Gives a document id
• POST /answer-questions: Submit questions and get answers based on the PDF content.