Build FastAPI Projects from Scratch! 🚀 CRUD + AI-Powered Background Remover (Full Tutorial)
AI Summary
Summary of AI-Powered API Development Tutorial
- Introduction
- Repetition due to network challenges in a previous session.
- Overview of building AI-powered APIs with FastAPI.
- Tutorial covers API connections to various AI services (OpenAI, Stability AI, Gemini).
- Project Structure
- Available on GitHub: Codelab 2 Tutorial.
- Two sub-tutorials: Basics of API development and AI-powered API development.
- Building a Computer Vision API
- Focus on removing image backgrounds using Stability AI.
- Basic requirements: FastAPI framework, requests library, and Stability AI API key.
- Code and example JSON file to hold Stability AI token provided.
- FastAPI Basics
- Setup of a basic FastAPI application with a ‘Hello World’ example.
- Explanation of get method and application structure.
- Use of Unicorn for deployment recommended.
- Creating and Managing Items in an API
- CRUD (Create, Read, Update, Delete) operations using FastAPI.
- Discussion of data models and correct typing with Pydantic.
- Simulated inventory demonstration with ID, names, and prices.
- Connecting to Stability AI
- Account creation at stability.ai.
- Obtaining and securing API key in a separate configuration file for security.
- Various functionality of Stability AI API discussed: image generation, background removal, and object erasure.
- Code Implementation
- Explanation of importing and utilizing separate logic files for maintaining clean code.
- Detailed steps on how to structure requests to Stability AI for removing image backgrounds.
- Troubleshooting and debugging common errors (e.g., image dimensions in API calls).
- Conclusion
- Encouragement to explore more about FastAPI through articles and tutorials.
- Expressing hope to see projects built by viewers using APIs and AI solutions.
- Reminder of good practices in API key management and deployment.