README.md

metadata

title: Mcqvid
emoji: 🚀
colorFrom: red
colorTo: red
sdk: docker
app_port: 8501
tags:
  - streamlit
pinned: false
short_description: Streamlit template space
license: openrail

---------------- README.md ----------------

MCQ Extractor via Hugging Face + Flask

This app extracts Multiple Choice Questions (MCQs) from uploaded files (PDF, DOCX, Excel) using Hugging Face's zero-shot classification model.

How to Use

1. Upload any educational file (PDF, DOCX, Excel).
2. It extracts questions, options, and answers.
3. You can submit answers and get analytics (score, accuracy).

Tech Stack

• Flask (backend API)
• Hugging Face Transformers (ML logic)
• Supports: PDF, DOCX, XLSX

How to Deploy

• Clone this repo
• Upload all files to Hugging Face Spaces as a custom Flask app
• Optionally include Dockerfile or use default inference

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✅ Ready for https://huggingface.co/spaces

Welcome to Streamlit!

Edit /src/streamlit_app.py to customize this app to your heart's desire. :heart:

If you have any questions, checkout our documentation and community forums.