This is a simple iris flower classification model deployment project as flask app.

Directly run on Docker without building

docker run --rm -d -p 8080:8080 erkansirin78/flask-iris-classification:2021-3

Build an image (Dockerize) and run on Docker container

• Download project git clone https://github.com/erkansirin78/flask-iris-classification.git

cd flask-iris-classification

• Build image docker image build -t my_flask_iris:1.0 .

• Run container docker run --rm --name flask_iris -p 8080:8080 -d my_flask_iris:1.0

• Open browser http://localhost:8080/

Enjoy your predictions.

On Kubernetes

• You can deploy the model/app on Kubernetes with deployment object.

• You can deploy this model/app on Openshift just using git project url with OpenShift build menu.

Input web ui:

Predictions: