README.md

Deploy VisualQnA in Kubernetes Cluster

[NOTE] You can also customize the "LVM_MODEL_ID" if needed.

You need to make sure you have created the directory /mnt/opea-models to save the cached model on the node where the visualqna workload is running. Otherwise, you need to modify the visualqna.yaml file to change the model-volume to a directory that exists on the node.

Deploy On Xeon

cd GenAIExamples/visualqna/kubernetes/intel/cpu/xeon/manifests
kubectl apply -f visualqna.yaml

Deploy On Gaudi

cd GenAIExamples/visualqna/kubernetes/intel/hpu/gaudi/manifests
kubectl apply -f visualqna.yaml

Verify Services

To verify the installation, run the command kubectl get pod to make sure all pods are running.

Then run the command kubectl port-forward svc/visualqna 8888:8888 to expose the visualqna service for access.

Open another terminal and run the following command to verify the service if working:

curl http://localhost:8888/v1/visualqna \
    -H 'Content-Type: application/json' \
    -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}'