Files
GenAIExamples/VisualQnA/kubernetes/gmc/README.md
dolpher c795ef2203 Add helm deployment instructions for GenAIExamples (#1373)
Add helm deployment instructions for ChatQnA, AgentQnA, AudioQnA, CodeTrans, DocSum, FaqGen and VisualQnA

Signed-off-by: Dolpher Du <dolpher.du@intel.com>
2025-01-10 09:55:31 +08:00

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2.2 KiB
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# Deploy VisualQnA in a Kubernetes Cluster
This document outlines the deployment process for a Visual Question Answering (VisualQnA) 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.md). 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 visualqna_xeon.yaml file or if you have a Gaudi cluster you could use visualqna_gaudi.yaml
In the below example we illustrate on Xeon.
## Deploy the VisualQnA application
1. Create the desired namespace if it does not already exist and deploy the application
```bash
export APP_NAMESPACE=visualqna
kubectl create ns $APP_NAMESPACE
kubectl apply -f ./visualqna_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 $APP_NAMESPACE -o jsonpath="{.items[?(@.metadata.name=='visualqna')].status.accessUrl}")
kubectl exec "$CLIENT_POD" -n $APP_NAMESPACE -- curl $accessUrl -X POST -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}' -H 'Content-Type: application/json' > $LOG_PATH/gmc_visualqna.log
```