youtube_app

YouTube Transcript Analyzer

This project is a web application that allows users to analyze YouTube video transcripts. It provides features such as transcript retrieval, summarization, and question answering based on the video content.

Features

• Fetch transcripts from YouTube videos
• Summarize video transcripts using various AI models
• Answer questions based on video transcripts
• Support for multiple AI models (GPT, Claude, Gemini, LLaMA)

Technologies Used

Backend

• Python
• Flask
• OpenAI API
• Anthropic API
• Google Generative AI
• Hugging Face Transformers
• YouTube Transcript API

Frontend

• React
• Material-UI
• Axios

Project Structure

youtube_app/
├── backend/
│   ├── main.py
│   └── transcripts/
├── frontend/
│   ├── public/
│   ├── src/
│   └── package.json
├── .env
├── .gitignore
├── package.json
├── requirements.txt
└── README.md

Setup and Installation

1. Clone the repository:

   git clone https://github.com/your-username/youtube_app.git
   cd youtube_app
   

2. Set up the backend:

   python -m venv .venv
   source .venv/bin/activate  # On Windows, use `.venv\Scripts\activate`
   pip install -r requirements.txt
   

   Note: This project requires Python 3.7 or higher.

3. Set up environment variables: Create a .env file in the root directory and add the following:

   OPENAI_API_KEY=your_openai_api_key
   ANTHROPIC_API_KEY=your_anthropic_api_key
   GOOGLE_API_KEY=your_google_api_key
   

   You’ll need to obtain your own API keys from OpenAI, Anthropic, and Google to use their respective services.

4. Set up the frontend:

   cd frontend
   npm install
   

Running the Application

1. Start the backend server:

   cd backend
   python main.py
   

   The backend will run on http://localhost:5000.

2. Start the frontend development server:

   cd frontend
   npm start
   

   The frontend will run on http://localhost:3000.

3. Open your browser and navigate to http://localhost:3000 to use the application.

Using the Application

1. Enter a YouTube video URL in the provided input field.
2. Choose an operation: Summarize or Ask a Question.
3. If summarizing, select the AI model you want to use.
4. If asking a question, enter your question in the provided field.
5. Click the submit button to process your request.
6. View the results displayed on the page.

API Endpoints

• POST /api/transcript: Fetch a YouTube video transcript
• POST /api/summarize: Summarize a video transcript
• POST /api/answer: Answer a question based on a video transcript
• GET /test: Test endpoint to verify the Flask app is running

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is open source and available under the MIT License.