This repository about how to deploy machine learning model end serving with FastAPI and using MLFlow-MINIO

-conda create -n myenv python=3.8

-conda activate myenv

-pip install -r requirements.txt

-docker-compose up -d mysql mlflow minio

-docker exec -it mlflow_db mysql -u root -p

-mysql> create database traindatabase;

-mysql> CREATE USER 'trainUser'@'%' IDENTIFIED BY 'Password';

-mysql> GRANT ALL PRIVILEGES ON traindatabase.* TO 'trainUser'@'%' WITH GRANT OPTION;

-mysql> FLUSH PRIVILEGES;

-mysql> exit

-cd trainModel/ -python trainModelwithMlflow.py

-cd .. -uvicorn main:app --host 0.0.0.0 --port 8002 --reload

http://localhost:8002/docs