This is a Flask web application that allows users to upload a PDF file and ask questions about its content. The application extracts text from the uploaded PDF, processes it in chunks, and utilizes OpenAI's GPT-3.5 Turbo model to provide concise answers based on the extracted text.
- PDF Upload: Users can upload a PDF file from their local system.
- Text Extraction: Extracts text from the uploaded PDF using PyMuPDF (
fitz). - Chunked Processing: Breaks down the extracted text into manageable chunks for efficient processing.
- AI-Powered Answers: Uses OpenAI's GPT-3.5 Turbo model to answer questions based on the PDF content.
- Error Handling: Gracefully handles errors such as missing files, invalid uploads, and API errors.
- Truncated Responses: Limits the length of the response to a maximum number of words to ensure concise answers.
- Python 3.7+: Make sure you have Python installed.
- Flask: A web framework for Python.
- PyMuPDF (
fitz): A library to handle PDF extraction. - OpenAI API Key: Required to interact with OpenAI's GPT-3.5 Turbo model.