YouTube-Summarize is a Streamlit-based web application that extracts and summarizes transcripts from YouTube videos using AI-powered language models. It helps users quickly understand video content by providing structured, easy-to-read summaries.

🔗 Live Demo: ClipSum

• 🔍 Automatic Transcript Retrieval – Fetches subtitles from YouTube videos in the selected language.
• 📝 AI-Powered Summarization – Uses an LLM (Large Language Model) to generate structured, bullet-point summaries.
• 📌 History Tracking – Stores recent summaries for quick access and review.
• 🎨 User-Friendly UI – Built with Streamlit for a clean and interactive experience.

1. Enter a YouTube video URL.
2. Select the subtitle language.
3. Click Summarize 🚀 to generate a structured summary.
4. View and scroll through the summary in a bordered, scrollable container.

• Python (Core application)
• Streamlit (Web UI)
• YouTube Transcript API (Subtitle extraction)
• LLM-based Summarization (AI-generated summaries)

# Clone the repository
git clone https://github.com/Vu0401/ClipSum.git

# Navigate to the project directory
cd ClipSum

# Install dependencies
pip install -r requirements.txt

# Run the Streamlit app
streamlit run app.py

⚠️ Important: Before running the app, create a .env file in the project directory and add your REMOVED:

REMOVED="your_api_key_here"  

This is required for AI-powered search to function properly.