SGINJ/cookiecutter-fastapi-ml

🍪 Cookiecutter for creating a simple FastAPI back-end, opinionated and ML oriented

Cookiecutter-fastapi-ml

Cookiecutter for creating a simple FastAPI back-end, opinionated and ML oriented

Quickstart

• Install the latest Cookiecutter if you haven't installed it yet (this requires Cookiecutter 1.4.0 or higher):

$ pip install -U cookiecutter

• Generate a Python package project:

$ cookiecutter https://github.com/pistocop/cookiecutter-fastapi-ml.git

FastAPI template features

• poetry as Python dependency management
• loguru as logger manager
• Docker image based on official guidelines
• Environment variables loader using .env file and official guidelines
• ML models informations loaded from .json file from both App and download process

Credits

• Code and tips from ali92hm/cookiecutter-pyproject
• Cookiecutter usages from cookiecutter-pypackage

TODO

• add cookiecutter tests
  • Note: Tests based on pytest-cookies
  • test license generated
  • test readme generated