This document outlines the deployment process for a Visual Question Answering (VisualQnA) application that utilizes the GenAIComps microservice components on Intel Xeon servers and Gaudi machines.
Please install GMC in your Kubernetes cluster, if you have not already done so, by following the steps in Section "Getting Started" at GMC Install. We will soon publish images to Docker Hub, at which point no builds will be required, further simplifying install.
If you have only Intel Xeon machines you could use the visualqna_xeon.yaml file or if you have a Gaudi cluster you could use visualqna_gaudi.yaml In the below example we illustrate on Xeon.
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Create the desired namespace if it does not already exist and deploy the application
export APP_NAMESPACE=CT kubectl create ns $APP_NAMESPACE sed -i "s|namespace: visualqna|namespace: $APP_NAMESPACE|g" ./visualqna_xeon.yaml kubectl apply -f ./visualqna_xeon.yaml
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Check if the application is up and ready
kubectl get pods -n $APP_NAMESPACE
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Deploy a client pod for testing
kubectl create deployment client-test -n $APP_NAMESPACE --image=python:3.8.13 -- sleep infinity
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Check that client pod is ready
kubectl get pods -n $APP_NAMESPACE
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Send request to application
export CLIENT_POD=$(kubectl get pod -n $APP_NAMESPACE -l app=client-test -o jsonpath={.items..metadata.name}) export accessUrl=$(kubectl get gmc -n $APP_NAMESPACE -o jsonpath="{.items[?(@.metadata.name=='visualqna')].status.accessUrl}") kubectl exec "$CLIENT_POD" -n $APP_NAMESPACE -- curl $accessUrl -X POST -d '{"messages": [ { "role": "user", "content": [ { "type": "text", "text": "What'\''s in this image?" }, { "type": "image_url", "image_url": { "url": "https://www.ilankelman.org/stopsigns/australia.jpg" } } ] } ], "max_tokens": 128}' -H 'Content-Type: application/json' > $LOG_PATH/gmc_visualqna.log