YouTube Summarizer Bot – Your Personal Study Assistant

Your personal study assistant!

Your personal study assistant! This bot makes learning easier by converting YouTube videos into summarized notes with key points. Just send a video link, and get a clear PDF summary—perfect for studying, revising, or quickly understanding any topic. Say goodbye to long videos and hello to smart learning

A demo project to study about ML models and how the models works

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Features

• Download YouTube audio with yt-dlp
• Transcribe audio into text using OpenAI Whisper
• Detect spoken language automatically
• Translate Malayalam → English using mBART
• Summarize long transcripts using BART Large CNN
• Extract key points for quick revision
• Generate a PDF report with summary + key points
• Get results directly in Telegram

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Models Used

1. Whisper (Base Model)

• Source: OpenAI Whisper
• Task: Speech-to-text transcription and language detection
• Strength: Works with noisy audio and supports multiple languages.

2. facebook/bart-large-cnn

• Source: Hugging Face BART
• Task: Summarization of English text
• Strength: Extracts concise, human-readable summaries from long transcripts.

3. facebook/mbart-large-50-many-to-many-mmt

• Source: Hugging Face mBART
• Task: Translation (Malayalam → English)
• Strength: Supports 50 languages, making the bot multilingual.

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⚡ Workflow

Step-by-step Flow:

1. User sends YouTube link in Telegram

2. Bot downloads audio using yt-dlp

3. Whisper transcribes audio → Returns full transcript

4. Language detection:

   • If English → move to summarization
   • If Malayalam → Translate Malayalam → English using mBART

5. Summarize transcript with BART-Large-CNN

6. Extract key points (max 8 important sentences)

7. Generate PDF with:

   • Title
   • Summary
   • Key points
   • Footer (Bot signature)

8. Bot sends back results:

   • Summary in text format
   • PDF file with key points

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Flow Diagram

File Structure

📦 youtube-summarizer-bot
 ┣ 📜 main.py            # Main bot code
 ┣ 📜 requirements.txt  # Dependencies
 ┣ 📜 README.md         # Documentation

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⚙️ Setup Instructions

1. Clone the Repo

git clone https://github.com/harikrishnan669/youtube-summarizer.git
cd youtube-summarizer

2. Create Virtual Environment (Optional but Recommended)

python -m venv venv
source venv/bin/activate   # Mac/Linux
venv\Scripts\activate      # Windows

3. Install Dependencies

pip install -r requirements.txt

requirements.txt

python-telegram-bot==20.3
transformers==4.31.0
torch
yt-dlp
openai-whisper
fpdf

4. Add Your Bot Token

• Get a bot token from BotFather on Telegram.
• Open bot.py and replace:

BOT_TOKEN = "YOUR_TELEGRAM_BOT_TOKEN"

5. Run the Bot

python bot.py

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Usage

• Start the bot in Telegram: /start

• Send a YouTube link 🎥

• Bot replies with:

  • 📄 A text summary (Telegram message)
  • 📑 A PDF report with key points

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📜 Commands

Command	Description
/start	Start the bot
/help	Show available commands
/steps	Show bot workflow steps
/clear	Clear session (experimental)

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📌 Example Output

Summary (Telegram Message):

This video explains the basics of AI, its applications in daily life, and future challenges...

PDF Key Points:

• AI is transforming industries
• Applications include healthcare, finance, education
• Challenges include ethics & privacy

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🚀 Future Improvements

• 📊 Better PDF formatting (colors, sections, headings)
• 🌍 Support for more languages
• ☁️ Cloud storage for generated PDFs
• 🎥 Handle very long videos with chunk-based transcript summarization

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🤝 Contributing

Pull requests are welcome! Please open an issue first to discuss major changes.

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Scrrenshots

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📄 License

MIT License – Feel free to use and modify.

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