Updated READMEs for kubernetes example pipelines (#353)

* Updated READMEs for kubernetes.
Signed-off-by: mkbhanda <malini.bhandaru@intel.com>

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* Kubernetes related Readme.
Signed-off-by: mkbhanda <malini.bhandaru@intel.com>

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CodeTrans/README.md

@@ -12,10 +12,12 @@ This Code Translation use case uses Text Generation Inference on Intel Gaudi2 or
 
 The Code Translation service can be effortlessly deployed on either Intel Gaudi2 or Intel Xeon Scalable Processor.
 
-## Deploy Code Translation on Gaudi
+## Deploy with Docker
 
-Refer to the [Gaudi Guide](./docker/gaudi/README.md) for instructions on deploying Code Translation on Gaudi.
+- To deploy Code Translation on Gaudi please refer to the [Gaudi Guide](./docker/gaudi/README.md)
 
-## Deploy Code Translation on Xeon
+- To deploy Code Translation on Xeon please refer to the [Xeon Guide](./docker/xeon/README.md).
 
-Refer to the [Xeon Guide](./docker/xeon/README.md) for instructions on deploying Code Translation on Xeon.
+## Deploy with Kubernetes
+
+Please refer to the [Code Translation Kubernetes Guide](./kubernetes/README.md)

CodeTrans/kubernetes/README.md

@@ -0,0 +1,40 @@
+<h1 align="center" id="title">Deploy CodeTrans in a Kubernetes Cluster</h1>
+
+This document outlines the deployment process for a Code Translation (CodeTran) application that utilizes the [GenAIComps](https://github.com/opea-project/GenAIComps.git) 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](https://github.com/opea-project/GenAIInfra/tree/main/microservices-connector#readme). 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 codetrans_xeon.yaml file or if you have a Gaudi cluster you could use codetrans_gaudi.yaml
+In the below example we illustrate on Xeon.
+
+## Deploy the RAG application
+
+1. Create the desired namespace if it does not already exist and deploy the application
+```bash
+export APP_NAMESPACE=CT
+kubectl create ns $APP_NAMESPACE
+sed -i "s|namespace: codetrans|namespace: $APP_NAMESPACE|g"  ./codetrans_xeon.yaml
+kubectl apply -f ./codetrans_xeon.yaml
+```
+
+2. Check if the application is up and ready
+```bash
+kubectl get pods -n $APP_NAMESPACE
+```
+
+3. Deploy a client pod for testing
+```bash
+kubectl create deployment client-test -n $APP_NAMESPACE --image=python:3.8.13 -- sleep infinity
+```
+
+4. Check that client pod is ready
+```bash
+    kubectl get pods -n $APP_NAMESPACE
+```
+
+5. Send request to application
+```bash
+export CLIENT_POD=$(kubectl get pod -n $APP_NAMESPACE -l app=client-test -o jsonpath={.items..metadata.name})
+export accessUrl=$(kubectl get gmc -n $APP_NAMESPACE -o jsonpath="{.items[?(@.metadata.name=='codetrans')].status.accessUrl}")
+kubectl exec "$CLIENT_POD" -n $APP_NAMESPACE -- curl $accessUrl -X POST -d '{"language_from": "Golang","language_to": "Python","source_code": "package main\n\nimport \"fmt\"\nfunc main() {\n    fmt.Println(\"Hello, World!\");\n}"}' -H 'Content-Type: application/json' > $LOG_PATH/gmc_codetrans.log
+```