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Generate quizzes from YouTube videos using LLM. A Streamlit app for educational content extraction.

Home Page: https://quiztube.streamlit.app/

Python 19.61% Jupyter Notebook 80.39%

streamlit-quiztube's Introduction

๐Ÿง  QuizTube: Transforming YouTube Videos into Quizzes with Streamlit

QuizTube offers an innovative approach to create interactive quizzes from YouTube video captions. By extracting captions using the youtube-transcript-api and subsequently processing the text with OpenAI's LLM, QuizTube serves as a powerful tool for enhancing video content interaction.

Video Tutorial

YouTube Video

Website Link

๐Ÿ‘‰ Check out the app here: https://quiztube.streamlit.app/

How It Works

  1. Caption Extraction: Using the youtube-transcript-api, captions are extracted from a given YouTube video URL.
  2. Quiz Generation: The extracted captions are then fed into OpenAI's LLM using LangChain Python with a predefined prompt template. The model generates questions based on the content, turning the video's key points into an interactive quiz.
  3. Streamlit Integration: The quizzes are seamlessly integrated and displayed in a Streamlit app, providing users with a unique and interactive experience.

This project was developed as an entry for the Streamlit Hackathon in September 2023.

๐Ÿค Connect with Me

Support

If you appreciate the project and wish to encourage its continued development, consider supporting my work. ko-fi

Feedback & Collaboration

For feedback, suggestions, or potential collaboration opportunities, reach out at [email protected]. Logo

streamlit-quiztube's People

Contributors

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