This repository contains a Python script that implements a Question Answering (QA) system. It is powered by OpenAI's GPT-3 and PyPDF2 for PDF manipulation.
The script reads a PDF file, extracts the text, and uses this extracted text as a knowledge base for the GPT-3 model. Users can then interact with the model by asking questions related to the contents of the PDF file. The script leverages the text-davinci-003 engine from OpenAI for generating responses.
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.
You need Python 3.x and the following packages installed:
openaiPyPDF2
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Clone the repository:
git clone https://github.com/atef1995/OpenAI-GPT3-PDF-Question-Answering.git -
Navigate into the directory:
cd OpenAI-GPT3-PDF-Question-Answering -
Install the required packages:
pip install -r requirements.txt -
Place your PDF file in the same directory as the script.
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Run the script and interact with the model by asking questions in the command line:
python script.py
While the script is running, enter your questions one at a time in the console. To end the question session, simply input a single period character (.) and press Enter.
Enter your question (enter '.' on a new line to finish):
Who is the author of the document?