c795ef2203
Add helm deployment instructions for ChatQnA, AgentQnA, AudioQnA, CodeTrans, DocSum, FaqGen and VisualQnA Signed-off-by: Dolpher Du <dolpher.du@intel.com>
52 lines
2.3 KiB
Markdown
52 lines
2.3 KiB
Markdown
# Deploy CodeTrans in a Kubernetes Cluster
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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.
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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.md). We will soon publish images to Docker Hub, at which point no builds will be required, further simplifying install.
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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
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In the below example we illustrate on Xeon.
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## Required Models
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By default, the LLM model is set to a default value as listed below:
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|Service |Model |
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|---------|-------------------------|
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|LLM |mistralai/Mistral-7B-Instruct-v0.3|
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Change the `MODEL_ID` in `codetrans_xeon.yaml` for your needs.
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## Deploy the RAG application
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1. Create the desired namespace if it does not already exist and deploy the application
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```bash
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export APP_NAMESPACE=CT
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kubectl create ns $APP_NAMESPACE
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sed -i "s|namespace: codetrans|namespace: $APP_NAMESPACE|g" ./codetrans_xeon.yaml
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kubectl apply -f ./codetrans_xeon.yaml
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```
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2. Check if the application is up and ready
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```bash
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kubectl get pods -n $APP_NAMESPACE
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```
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3. Deploy a client pod for testing
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```bash
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kubectl create deployment client-test -n $APP_NAMESPACE --image=python:3.8.13 -- sleep infinity
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```
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4. Check that client pod is ready
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```bash
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kubectl get pods -n $APP_NAMESPACE
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```
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5. Send request to application
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```bash
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export CLIENT_POD=$(kubectl get pod -n $APP_NAMESPACE -l app=client-test -o jsonpath={.items..metadata.name})
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export accessUrl=$(kubectl get gmc -n $APP_NAMESPACE -o jsonpath="{.items[?(@.metadata.name=='codetrans')].status.accessUrl}")
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kubectl exec "$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
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```
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