Spaces:
Running
Running
File size: 1,582 Bytes
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steps:
- name: "gcr.io/google.com/cloudsdktool/cloud-sdk"
entrypoint: "bash"
id: upload-model
args:
- "-c"
- |
gcloud ai models upload \
--region="us-central1" \
--container-ports=8080 \
--container-image-uri="us-central1-docker.pkg.dev/${PROJECT_ID}/interview-ai-detector/model-prediction:latest" \
--container-predict-route="/predict" \
--container-health-route="/health" \
--display-name="interview-ai-detector-model"
- name: "gcr.io/google.com/cloudsdktool/cloud-sdk"
entrypoint: "bash"
id: create-endpoint
waitFor: ["upload-model"]
args:
- "-c"
- |
gcloud ai endpoints create \
--region="us-central1" \
--display-name="interview-ai-detector-endpoint" \
--format="value(name)"
- name: "gcr.io/google.com/cloudsdktool/cloud-sdk"
entrypoint: "bash"
waitFor: ["create-endpoint"]
args:
- "-c"
- |
_MODEL_ID=$(gcloud ai models list --region=us-central1 --format="value(name)" | head -n 1) \
_ENDPOINT_ID=$(gcloud ai endpoints list --region=us-central1 --format="value(name)" | head -n 1) \
gcloud ai endpoints deploy-model $_ENDPOINT_ID \
--region="us-central1" \
--model=$_MODEL_ID \
--display-name="interview-ai-detector-deployment" \
--machine-type="n1-standard-4" \
--accelerator="count=1,type=nvidia-tesla-t4" \
--service-account="vertex-ai-user-managed-sa@steady-climate-416810.iam.gserviceaccount.com"
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