📽️ YouTube Video Summarizer

A powerful and elegant Streamlit-based web app that automatically fetches a YouTube video's transcript and generates a concise, intelligent summary using Google's Gemini AI model.

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✨ Features

• 🔗 Paste any YouTube video link
• 📜 Auto-fetches the transcript using youtube-transcript-api
• 🧠 Summarizes the content using Google Gemini (Generative AI)
• 📄 Clean and modern UI following design best practices
• 🖼️ Displays video thumbnail for visual context
• ✅ Error handling for invalid links
• 🎯 Summary limited to 250 words and focuses on key points
• 📱 Fully responsive design with beautiful typography

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🛠️ Tech Stack

Layer	Tools/Libs
🧠 AI Model	Google Gemini (Generative AI)
🖥️ Frontend	Streamlit
🔌 Backend	Python
🌐 API	youtube-transcript-api
🔐 Secrets	dotenv / Streamlit Cloud Secrets

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📷 Screenshots

Input Interface	Output Summary

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🚀 Live Demo

🌐 Click here to open the app on Streamlit Cloud

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📦 Installation & Running Locally

1. Clone the Repository

git clone https://github.com/yourusername/yt-summarizer-app.git
cd yt-summarizer-app

2. Install Requirements

pip install -r requirements.txt

3. Set Up Environment Variables

Create a .env file in the root directory:

Youtube_Video_Summarizer_API=your_gemini_api_key_here

Or, if using Streamlit Cloud, set this as a secret key in the settings.

4. Run the App

streamlit run app.py

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🔑 Required Files

.
├── app.py
├── requirements.txt
├── .env                # (Optional for local)
└── README.md

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✅ Deployment (Streamlit Cloud)

1. Push code to GitHub
2. Go to https://streamlit.io/cloud
3. Log in with GitHub and select your repo
4. Set the environment variable:
   • Youtube_Video_Summarizer_API
5. Click Deploy

✅ That's it — your app is live!

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📚 Example Prompts (used internally)

Please summarize this video transcript to 250 words or less with highlighting all important key points.

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⚠️ Disclaimer

• This project is built only for educational and informational purposes.
• All content, transcripts, and video rights belong to their original creators.
• The app uses public transcript data via the YouTube API where available.

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📄 License

MIT License. Feel free to fork and enhance.

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💬 Connect With Me

• GitHub: Github Profile link
• Portfolio: Personal Portfolio
• Email: muhammadasim4927@gmail.com

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"Summarize smarter. Save time. Learn faster." – Built with 💡 by Muhammad Asim