https://github.com/sohamb21/youtube-summarizer

This code extracts the transcript of a YouTube video specified by the user's link, then uses a BART model to generate a summary of the transcript.
https://github.com/sohamb21/youtube-summarizer

Last synced: 2 days ago
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This code extracts the transcript of a YouTube video specified by the user's link, then uses a BART model to generate a summary of the transcript.

• Host: GitHub
• URL: https://github.com/sohamb21/youtube-summarizer
• Owner: SohamB21
• Created: 2024-04-25T16:33:14.000Z (7 months ago)
• Default Branch: main
• Last Pushed: 2024-04-25T16:42:00.000Z (7 months ago)
• Last Synced: 2024-04-25T17:46:17.104Z (7 months ago)
• Language: Jupyter Notebook
• Size: 5.86 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Youtube-Summarizer

This code extracts the transcript of a YouTube video specified by the user's link, then uses a BART model to generate a summary of the transcript.

The tech stack used in the Youtube Summarizer includes:

- Python: The primary programming language.

- Google Colab: An online platform for Python code execution.

- youtube_transcript_api: Fetches transcripts/subtitles from YouTube.

- nltk (Natural Language Toolkit): For natural language processing.

- scikit-learn (sklearn): For text preprocessing.

- transformers: For natural language understanding and generation.

- Facebook's BART Model: Pre-trained for text summarization.