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doc: fix minor issue in GMC doc #383

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Merged
merged 1 commit into from
Jul 18, 2024
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doc: fix minor issue in GMC doc #383

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6 changes: 3 additions & 3 deletions ChatQnA/kubernetes/manifests/README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -64,7 +64,7 @@ kubectl create deployment client-test -n chatqa --image=python:3.8.13 -- sleep i
5. Access the application using the above URL from the client pod

```sh
export CLIENT_POD=$(kubectl get pod -l app=client-test -o jsonpath={.items..metadata.name})
export CLIENT_POD=$(kubectl get pod -n chatqa -l app=client-test -o jsonpath={.items..metadata.name})
export accessUrl=$(kubectl get gmc -n chatqa -o jsonpath="{.items[?(@.metadata.name=='chatqa')].status.accessUrl}")
kubectl exec "$CLIENT_POD" -n chatqa -- curl $accessUrl -X POST -d '{"text":"What is the revenue of Nike in 2023?","parameters":{"max_new_tokens":17, "do_sample": true}}' -H 'Content-Type: application/json'
```
Expand All @@ -79,7 +79,7 @@ For example, to use Llama-2-7b-chat-hf make the following edit:
```yaml
- name: Tgi
internalService:
serviceName: tgi-svc
serviceName: tgi-service-m
config:
LLM_MODEL_ID: Llama-2-7b-chat-hf
```
Expand All @@ -92,7 +92,7 @@ kubectl apply -f $(pwd)/chatQnA_xeon.yaml
8. Check that the tgi-svc-deployment has been changed to use the new LLM Model

```sh
kubectl get deployment tgi-svc-deployment -n chatqa -o jsonpath="{.spec.template.spec.containers[*].env[?(@.name=='LLM_MODEL_ID')].value}"
kubectl get deployment tgi-service-m-deployment -n chatqa -o jsonpath="{.spec.template.spec.containers[*].env[?(@.name=='LLM_MODEL_ID')].value}"
```

9. Access the updated pipeline using the same URL from above using the client pod
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2 changes: 1 addition & 1 deletion DocSum/kubernetes/README.md
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Expand Up @@ -58,7 +58,7 @@ kubectl create deployment client-test -n ${ns} --image=python:3.8.13 -- sleep in
6. Access the pipeline using the above URL from the client pod and execute a request

```bash
export CLIENT_POD=$(kubectl get pod -l app=client-test -o jsonpath={.items..metadata.name})
export CLIENT_POD=$(kubectl get pod -n ${ns} -l app=client-test -o jsonpath={.items..metadata.name})
export accessUrl=$(kubectl get gmc -n $ns -o jsonpath="{.items[?(@.metadata.name=='docsum')].status.accessUrl}")
kubectl exec "$CLIENT_POD" -n $ns -- curl $accessUrl -X POST -d '{"query":"Text Embeddings Inference (TEI) is a toolkit for deploying and serving open source text embeddings and sequence classification models. TEI enables high-performance extraction for the most popular models, including FlagEmbedding, Ember, GTE and E5."}' -H 'Content-Type: application/json'
```
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