YouTube Video Transcriber and Summarizer

A Streamlit web application that transcribes YouTube videos and generates summaries using OpenAI's Whisper model and Hugging Face's transformers. The app provides dual methods for transcription: direct audio processing with Whisper and youtube-transcript-api.

📋 Features

• Dual Transcription Methods:
  • Primary: OpenAI's Whisper model for audio transcription
  • Fallback: youtube-transcript-api
• Text Summarization: Generate concise summaries using Hugging Face transformers
• Clean Interface: User-friendly UI built with Streamlit
• Error Handling: Automatic fallback system if primary method fails
• Progress Tracking: Real-time status updates during processing

🚀 Quick Start

1. Clone the repository:

git clone https://github.com/rajeshai/Youtube-Transcription.git
cd Youtube-Transcription

2. Create and activate a virtual environment (recommended):

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install required packages:

pip install -r requirements.txt

4. Run the app:

streamlit run app.py

5. Open your browser and go to http://localhost:8501

📦 Requirements

Create a requirements.txt file with these dependencies:

streamlit
openai-whisper
pytubefix
transformers
torch
youtube_transcript_api

💻 Usage

1. Launch the application
2. Enter a YouTube URL in either the Transcription or Summary tab
3. Click the respective button to get either:
   • Full video transcription
   • Summarized content

🔧 How It Works

1. Transcription Process:

   • First attempts to download audio using pytubefix and transcribe with Whisper
   • If that fails, automatically switches to youtube-transcript-api
   • Shows clear status messages throughout the process

2. Summarization Process:

   • Processes transcribed text using Hugging Face's summarization pipeline
   • Handles long transcripts by chunking text into manageable segments
   • Combines summaries for a coherent final output

⚠️ Known Limitations

• YouTube may occasionally block pytubefix and youtube-transcript-api requests
• Some videos might not have available transcripts through YouTube's API
• Processing long videos may take additional time
• Summarization quality depends on transcript accuracy

🤝 Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

🙏 Acknowledgments

• OpenAI Whisper for audio transcription
• Hugging Face Transformers for text summarization
• Streamlit for the web interface
• YouTube Transcript API for the fallback transcription method

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Note: Please ensure you comply with YouTube's terms of service when using this application.