GenAIExamples/CodeGen/kubernetes/intel/README.md

Deploy CodeGen 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 CodeGen workload is running. Otherwise, you need to modify the codegen.yaml file to change the model-volume to a directory that exists on the node. Alternatively, you can change the codegen.yaml to use a different type of volume, such as a persistent volume claim.

Deploy On Xeon

cd GenAIExamples/CodeGen/kubernetes/intel/cpu/xeon/manifests
export HUGGINGFACEHUB_API_TOKEN="YourOwnToken"
export MODEL_ID="meta-llama/CodeLlama-7b-hf"
sed -i "s/insert-your-huggingface-token-here/${HUGGINGFACEHUB_API_TOKEN}/g" codegen.yaml
sed -i "s/meta-llama\/CodeLlama-7b-hf/${MODEL_ID}/g" codegen.yaml
kubectl apply -f codegen.yaml

Deploy On Gaudi

cd GenAIExamples/CodeGen/kubernetes/intel/hpu/gaudi/manifests
export HUGGINGFACEHUB_API_TOKEN="YourOwnToken"
sed -i "s/insert-your-huggingface-token-here/${HUGGINGFACEHUB_API_TOKEN}/g" codegen.yaml
kubectl apply -f codegen.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/codegen 7778:7778 to expose the CodeGen service for access.

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

Note that it may take a couple of minutes for the service to be ready. If the curl command below fails, you can check the logs of the codegen-tgi pod to see its status or check for errors.

kubectl get pods
curl http://localhost:7778/v1/codegen -H "Content-Type: application/json" -d '{
     "messages": "Implement a high-level API for a TODO list application. The API takes as input an operation request and updates the TODO list in place. If the request is invalid, raise an exception."
     }'