updated cicd workflow template

content/docs/start/model-management/model-cicd.md

@@ -194,14 +194,13 @@ You can now use the following template to create your own Model Registry CICD
 actions on GitHub!
 
 ```yaml
-name: Template CICD Action for DVC Model Registry
+name: Deploy Model (Template)
 
 on:
   # the workflow is triggered whenever a tag is pushed to the repository
   push:
     tags:
       - "*"
-
 jobs:
 
   # This job parses the git tag with the GTO GitHub Action to identify model registry actions
@@ -218,18 +217,23 @@ jobs:
       stage: ${{ steps.gto.outputs.stage }}
       version: ${{ steps.gto.outputs.version }}
 
-  perform-action-with-model:
+  deploy-model:
     needs: parse
-    if: # here paste the model registry event condition you want to trigger your action
+    # using the outputs from the "parse" job, we run this job only for actions
+    # in the model registry and only when the model was assigned to a stage called "prod"
+    # You can replace this with your own conditions
+    if: ${{ needs.parse.outputs.event == 'assignment' && needs.parse.outputs.stage == 'prod' }}
+    runs-on: ubuntu-latest
     steps:
     - uses: iterative/setup-dvc@v1
-        # this step uses DVC to download the model artifact from our remote repository so we can perform CICD actions with it
-        # The DVC Studio token is used to avoid having to store specific remote storage credentials on GitHub
-        - name: Get Model For Deployment
-          run: |
-            dvc config --global studio.token ${{ secrets.DVC_STUDIO_TOKEN }}
-            dvc artifacts get  ${{ github.server_url }}/${{ github.repository }} ${{ needs.parse.outputs.name }} --rev ${{ needs.parse.outputs.version }}
-
-    ...
+    # this step uses DVC to download the model from the remote repository and deploys the model
+    # Model deployment is mocked here as it is specific to each deployment environment
+    # The DVC Studio token is used to avoid having to store specific remote storage credentials on GitHub
+    - name: Get Model For Deployment
+      run: |
+        dvc config --global studio.token ${{ secrets.DVC_STUDIO_TOKEN }}
+        dvc artifacts get  ${{ github.server_url }}/${{ github.repository }} ${{ needs.parse.outputs.name }} --rev ${{ needs.parse.outputs.version }}
+        echo "The right model is available and you can use the rest of this command to deploy it. Good job!"
+
 
 ```