Learn how to build a Machine Learning app with FastAPI and Docker. Along the way we will show you some tips like the interactive coding session and Docker init command, and best practices when working with FastAPI.
Timeline:
00:00 - Introduction
00:55 - Model Setup
09:35 - FastAPI Setup
26:15 - Docker Setup
Sebastián is the creator of FastAPI, Typer, and other cool Open Source tools, and he is also a Docker captain. You can connect with him here:
- Twitter: https://twitter.com/tiangolo
- Website: https://tiangolo.com/
Learn more about AI/ML and Docker: https://www.docker.com/products/ai-ml-development/
Resources:
- FastAPI: https://fastapi.tiangolo.com/
- ML model: https://huggingface.co/dandelin/vilt-b32-finetuned-vqa
- Docker init: https://github.com/patrickloeber/docker-fastapi-ml/tree/main
- Code: https://github.com/patrickloeber/docker-fastapi-ml/tree/main
Get my Free NumPy Handbook:
https://www.python-engineer.com/numpybook
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