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question-answering-model

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Fully automated system that generates questions and answers from various input sources—including PDF, TXT, MP3, ENEX, MP4, DOCX, PNG, JPG, PPTX, EPUB, JPEG, MPEG4, URL, YouTube, Spotify, Wikipedia, or direct text input—allowing users to solve questions within an interface and then receive a detailed report of their performance

  • Updated Apr 14, 2025
  • Python

This repository implements a question-answering system using Gradio's lower-level API, featuring two input fields for context and user questions. The system utilizes the deepset/roberta-base-squad2 model and provides a user-friendly interface for model interaction.

  • Updated Mar 9, 2024
  • Jupyter Notebook

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