Image recognizer web application that runs on Kubernetes with 4 replicas, you can upload your image to get a label and confidence. The underlying model is an AlexNet trained on the famous Imagenet dataset.

1. Install Docker
2. Install Kubernetes
3. Install Git
4. Open Docker desktop and run docker daemon.
5. Navigate to Kubernetes tab in Docker desktop and select 'Enable Kubernetes' option.

   git clone //https://github.com/sushanthsamala/image-recognizer-web-app
   cd image-recognizer-web-app
   docker build -t image-recognizer .
   kubectl apply -f deployment.yaml

1. Navigate to http://0.0.0.0:5000 in your browser
2. Upload an image.
3. The web page displays image label and the confidence of the model on the prediction.
4. Repeat step 2 until you are satisfied.

   kubectl delete -f deployment.yaml
   docker rmi -f $(docker images -a -q)

Instead of build the Dockerfile on your machine, you can directly use my publicly available docker image on docker hub: sushanthsamala/image-recognizer