A real demo of Deep Learning project with preprocessing from development to production using code, ops and Machine Learning best practices. Production is a real time REST API.
Requirements, Download and install:
- Pycharm: https://www.jetbrains.com/pycharm/
- Python 3.10 : https://www.python.org/downloads/
- Git: https://git-scm.com/downloads
- Docker-desktop: https://www.docker.com/products/docker-desktop/
- Postman: https://www.postman.com/downloads/
- NodeJS 18.x: https://nodejs.org/en/download/
On windows your have to use "GitBash" only because all commands are linux bash commands.
git clone https://www.github.com/guillaume-chervet/MLOpsPython
cd MLOpsPython
chmod +x Makefile
# If you have poetry installed
./Makefile poetry 0.2.0
# Else degraded mode
./Makefile pip 0.2.0
cd production
docker-compose up
# webapp is now available at : http://localhost:4000
# api is available at : http://localhost:8000/health