MLOpsPython
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.
Getting Started
Requirements, Download and install:
- Pycharm: https://www.jetbrains.com/pycharm/
- Python 3.11.1 : 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
./Makefile
# Download the model from here :
# https://github.com/guillaume-chervet/MLOpsPython/releases/download/v0.1.0/mlopspython_model.zip
# Unzip it
curl -L https://github.com/guillaume-chervet/MLOpsPython/releases/download/v0.1.0/mlopspython_model.zip --output model.zip
unzip model.zip -d ./production/api/core/model
rm model.zip
cd production
docker-compose up
# webapp is now available at : http://localhost:4000
# api is available at : http://localhost:4000/health
