YouTube Comment Analyzer

This application analyzes YouTube comments using AI to provide summaries and retrieve the most relevant comments based on user queries.

Features

1. YouTube Comment Fetching: Retrieves all comments from a given YouTube video link
2. Comment Summarization: Generates an AI-powered summary of the comments
3. Top-K Query Search: Finds the most relevant comments based on a user query
4. AI Chatbot: Allows users to ask questions about the comments

Prerequisites

• Python 3.8 or higher
• Node.js 16 or higher
• YouTube API key (for fetching comments)
• Google API key (for Gemini AI model)

Setup

Environment Variables

Create a .env file in the root directory with the following variables:

GOOGLE_API_KEY=your_google_api_key
YOUTUBE_API_KEY=your_youtube_api_key

Installation

1. Clone the repository
2. Run the start script:

./start.bat

This will:

• Create a Python virtual environment if it doesn't exist
• Install all required Python dependencies
• Start the backend server on port 8000
• Start the frontend server on port 3000

Usage

1. Open your browser and navigate to http://localhost:3000
2. Enter a YouTube URL in the input field on the home page
3. Use the different features:
   • YouTube Summarizer: Get an AI-generated summary of the comments
   • Top Comments: Search for the most relevant comments based on a query
   • AI Chatbot: Ask questions about the comments

Architecture

• Frontend: Next.js application with React components
• Backend: FastAPI server with LangChain for AI processing
• Vector Database: FAISS for efficient similarity search

Troubleshooting

• If you encounter issues with the YouTube API, check your API key and quota limits
• If the AI features aren't working, verify your Google API key
• For any other issues, check the console logs in both the frontend and backend terminals