📺 YouTube Video Summarizer (Whisper + Gemini AI)

A Streamlit-based web app that summarizes YouTube videos into structured reports or notes using:

• Google Gemini AI for summarization
• YouTubeTranscriptApi for transcript fetching
• Faster-Whisper for audio transcription (fallback when no transcript)
• yt-dlp for audio downloading
• ReportLab for generating PDF reports

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✅ Features

• ✔ Summarizes entire YouTube videos into structured reports (Introduction, Main Points, Key Takeaways)
• ✔ Supports videos without subtitles using Whisper transcription
• ✔ Handles long transcripts with chunking + merging
• ✔ Downloads PDF notes with clean formatting
• ✔ Displays video info and thumbnail
• ✔ Uses Streamlit for UI

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🛠 Tech Stack

• Python 3.10+ (Recommended)
• Streamlit (Frontend UI)
• Google Generative AI (Gemini) for summarization
• Faster-Whisper for speech-to-text
• yt-dlp for audio download
• YouTubeTranscriptApi for captions
• ReportLab for PDF generation

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📂 Project Structure

AI-Exam-System/
├── main.py
├── requirements.txt
├── README.md
├── LICENSE
└── .gitignore

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⚙️ Installation

1. Clone the Repository

git clone https://github.com/EbrahimAR/Youtube-Video-Summarizer.git
cd youtube-video-summarizer

2. Create a virtual environment (recommended)

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

3. Install dependencies

pip install -r requirements.txt

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🔑 Set Your API Key

You need a Gemini API key from Google AI Studio.

Add it as:

• Environmental Variable:

  export GEMINI_API_KEY="your_api_key_here"

  (Windows Powershell)

  setx GEMINI_API_KEY "your_api_key_here"

OR

• Streamlit Secrets: Create .streamlit/secrets.toml:

  GEMINI_API_KEY = "your_api_key_here"

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▶ Usage

Launching the App

• Run the script:

  streamlit run main.py

📄 Features in Detail

• ✅ Detailed Report – Creates a structured summary (Introduction, Main Points, Key Takeaways)
• ✅ PDF Export – Save summaries as a PDF
• ✅ Whisper Fallback – Handles videos without captions
• ✅ Gemini AI Integration – For high-quality summarization

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🔮 Future Improvements

• Add UI option for summary style (Detailed Report / Bullet Notes)
• Support multiple languages
• Add audio-only mode for podcasts

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👨‍💻 Author

Ebrahim Abdul Raoof

LinkedIn

GitHub

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📜 License

This project is licensed under the MIT License. See LICENSE for details.