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| 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 | |
| --- | |
| ✅ Ready for [https://huggingface.co/spaces](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](https://docs.streamlit.io) and [community | |
| forums](https://discuss.streamlit.io). | |