Architecture Overview

The YouTube Transcript Summarizer is built using a modular architecture with the following key components:

1. FastAPI Web Server
2. Authentication Service
3. YouTube API Service
4. OpenAI API Service
5. Database Layer (PostgreSQL)

Component Interaction

1. The FastAPI server handles incoming HTTP requests.
2. Requests are authenticated using the Authentication Service.
3. For summarization requests: a. The YouTube API Service retrieves video transcripts and metadata. b. The OpenAI API Service generates summaries using AI models.
4. User data is stored and retrieved using the Database Layer.

Key Technologies

• FastAPI: Web framework for building APIs
• SQLAlchemy: ORM for database operations
• Alembic: Database migration tool
• Pydantic: Data validation and settings management
• Python-jose: JWT token handling
• Docker: Containerization for development and deployment

Project Structure

• main.py: FastAPI application entry point
• models/: Database models
• repositories/: Data access layer
• services/: Business logic implementation
• utils/: Utility functions
• tests/: Test suite
• alembic/: Database migration scripts

This architecture ensures separation of concerns, making the codebase modular and maintainable.