ershovio/ml_model_deployment_example

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

Python

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