An example of how to deploy Machine learning model using Fast API and Docker

How to run

• Install and run Docker
• Build Docker image using docker build . -t iris_server
• Run Docker container using docker run --rm -it -p 80:80 iris_server
• Go to http://127.0.0.1:80/docs to see all available methods of the API

All parameters are hardcoded to make the example as easy as possible

Source code

• server.py contains API logic
• train.py trains dummy model using Iris dataset
• query_example.py helps to check that docker container working properly
• Dockerfile describes a Docker image that is used to run the API