GenAIExamples/Translation/kubernetes/intel

Deploy Translation in Kubernetes Cluster

[NOTE] The following values must be set before you can deploy: HUGGINGFACEHUB_API_TOKEN

You can also customize the "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 Translation workload is running. Otherwise, you need to modify the translation.yaml file to change the model-volume to a directory that exists on the node.

Deploy On Xeon

cd GenAIExamples/Translation/kubernetes/intel/cpu/xeon/manifest
export HUGGINGFACEHUB_API_TOKEN="YourOwnToken"
sed -i "s/insert-your-huggingface-token-here/${HUGGINGFACEHUB_API_TOKEN}/g" translation.yaml
kubectl apply -f translation.yaml

Deploy On Gaudi

cd GenAIExamples/Translation/kubernetes/intel/hpu/gaudi/manifest
export HUGGINGFACEHUB_API_TOKEN="YourOwnToken"
sed -i "s/insert-your-huggingface-token-here/${HUGGINGFACEHUB_API_TOKEN}/g" translation.yaml
kubectl apply -f translation.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/translation 8888:8888 to expose the Translation service for access.

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

curl http://localhost:8888/v1/translation \
    -H 'Content-Type: application/json' \
    -d '{"language_from": "Chinese","language_to": "English","source_language": "我爱机器翻译。"}'