Docai

Docai is a GPT-3 based Question Answering System that can provide answers based on a PDF, DOCX, and TXT files.

Key Features • How To Use • Requirements • Copyright

Key Features

• File handling
  • The script supports PDF, DOCX, and TXT files
  • Read the content using the pdfplumber, docx, and built-in open() functions
• GPT-3 integration
  • The script uses the OpenAI GPT-3 model, specifically the text-davinci-003 engine, to generate answers to questions.
• Confidence scoring
  • The script calculates confidence scores for the generated answers using log probabilities returned by the GPT-3 API.
• Concurrency
  • It uses the concurrent.futures.ThreadPoolExecutor to process questions concurrently, potentially speeding up the process.
• Text preprocessing
  • The script splits the input document into chunks to fit within GPT-3's token limit, and post-processes the answers to remove duplicate sentences.
• Saving conversation history
  • The script allows users to save the conversation history to a text file.
• Caching
  • The script uses lru_cache decorator to cache the answers generated by GPT-3. This way, if a user asks the same question again, the cached answer can be returned instead of making another API call.
• Gui
  • The script provides a friendly graphical user interface built using the tkinter library and ttkthemes allowing users to select a file, input a question, view the answer, and save the conversation history.

How To Use

• Put you api key in line 45
• Run the script
• Select your file
• Enter your question and click submit

It's as simple as that

Note We will provide an executable version soon

Requirements

pip install openai pdfplumber python-docx

Copyright

All rights reserved to Bropocalypse Team.