try fix lint

Abhishekbhagwat · Oct 29, 2024 · e838d43 · e838d43
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diff --git a/partner-models/claude/computer-use-demo/README.md b/partner-models/claude/computer-use-demo/README.md
@@ -1,4 +1,6 @@
+
 # Anthropic Computer Use Demo on Google Cloud
+
 [![Deploy in Cloud Shell](https://gstatic.com/cloudssh/images/open-btn.svg)](https://shell.cloud.google.com/cloudshell/editor?cloudshell_git_repo=https%3A%2F%2Fgithub.com%2FGoogleCloudPlatform%2Fgenerative-ai&cloudshell_git_branch=main&cloudshell_workspace=partner-models%2Fclaude%2Fcomputer-use-demo&cloudshell_tutorial=partner-models%2Fclaude%2Fcomputer-use-demo%2FREADME.md)
 
 > [!CAUTION]
@@ -15,10 +17,10 @@
 
 This repository helps you get started with computer use on Claude, with reference implementations of:
 
-* Build files to create a Docker container with all necessary dependencies
-* A computer use agent loop using the Vertex AI and GKE to access the updated Claude 3.5 Sonnet model
-* Anthropic-defined computer use tools
-* A streamlit app for interacting with the agent loop
+- Build files to create a Docker container with all necessary dependencies
+- A computer use agent loop using the Vertex AI and GKE to access the updated Claude 3.5 Sonnet model
+- Anthropic-defined computer use tools
+- A streamlit app for interacting with the agent loop
 
 Please use [this form](https://forms.gle/BT1hpBrqDPDUrCqo7) to provide feedback on the quality of the model responses, the API itself, or the quality of the documentation - we cannot wait to hear from you!
 
@@ -34,33 +36,33 @@ We provide a simplified way to deploy this app on Google Cloud using Google Kube
 
 1. Set up the environment variables
 
-    ```bash
-    export PROJECT_ID=%your_project_id%
-    ```
+   ```bash
+   export PROJECT_ID=%your_project_id%
+   ```
 
 2. Authenticate with Google Cloud
 
-    ```bash
-    gcloud auth application-default login
-    ```
+   ```bash
+   gcloud auth application-default login
+   ```
 
 3. Create a Cloud Build job to deploy the app
 
-    ```bash
-    gcloud builds submit --config cloudbuild.yaml
-    ```
+   ```bash
+   gcloud builds submit --config cloudbuild.yaml
+   ```
 
 4. [Optional] Delete all created resources
 
-    ```bash
-    gcloud builds submit --config cloudbuild-destroy.yaml
-    ```
+   ```bash
+   gcloud builds submit --config cloudbuild-destroy.yaml
+   ```
 
 ## Local development
 
 ### Running the app locally
 
-You'll need to pass in Google Cloud credentials with appropriate permissions to use Claude on Vertex.
+You'll need to pass in Google Cloud credentials with appropriate permissions to use Claude on Vertex AI.
 
 ```bash
 docker build . -t computer-use-demo
@@ -81,7 +83,7 @@ docker run \
 
 Once the container is running, see the [Accessing the demo app](#accessing-the-demo-app) section below for instructions on how to connect to the interface.
 
-This example shows how to use the Google Cloud Application Default Credentials to authenticate with Vertex.
+This example shows how to use the Google Cloud Application Default Credentials to authenticate with Vertex AI.
 
 You can also set `GOOGLE_APPLICATION_CREDENTIALS` to use an arbitrary credential file, see the [Google Cloud Authentication documentation](https://cloud.google.com/docs/authentication/application-default-credentials#GAC) for more details.
 
@@ -93,9 +95,9 @@ The container stores settings like the API key and custom system prompt in `~/.a
 
 Alternative access points:
 
-* Streamlit interface only: [http://localhost:8501](http://localhost:8501)
-* Desktop view only: [http://localhost:6080/vnc.html](http://localhost:6080/vnc.html)
-* Direct VNC connection: `vnc://localhost:5900` (for VNC clients)
+- Streamlit interface only: [http://localhost:8501](http://localhost:8501)
+- Desktop view only: [http://localhost:6080/vnc.html](http://localhost:6080/vnc.html)
+- Direct VNC connection: `vnc://localhost:5900` (for VNC clients)
 
 ## Screen size
 
@@ -136,4 +138,4 @@ docker run \
     -it computer-use-demo:local  # can also use ghcr.io/anthropics/anthropic-quickstarts:computer-use-demo-latest
 ```
 
-The docker run command above mounts the repo inside the docker image, such that you can edit files from the host. Streamlit is already configured with auto reloading.
+The docker run command above mounts the repository inside the docker image, such that you can edit files from the host. Streamlit is already configured with auto reloading.
diff --git a/partner-models/claude/computer-use-demo/cloudbuild-destroy.yaml b/partner-models/claude/computer-use-demo/cloudbuild-destroy.yaml
@@ -13,70 +13,70 @@
 # limitations under the License.
 
 steps:
-- id: 'delete-k8s-resources'
-  name: 'gcr.io/google.com/cloudsdktool/cloud-sdk'
-  entrypoint: 'bash'
-  args:
-    - '-c'
-    - |
-      if gcloud container clusters describe ${_CLUSTER_NAME} \
-        --project=${PROJECT_ID} \
-        --region=${_REGION} --format="none" 2>/dev/null; then
-        gcloud container clusters get-credentials ${_CLUSTER_NAME} \
+  - id: "delete-k8s-resources"
+    name: "gcr.io/google.com/cloudsdktool/cloud-sdk"
+    entrypoint: "bash"
+    args:
+      - "-c"
+      - |
+        if gcloud container clusters describe ${_CLUSTER_NAME} \
           --project=${PROJECT_ID} \
-          --region=${_REGION}
-        
-        # Delete namespace (this will delete all resources in it)
-        kubectl delete namespace ${_NAMESPACE} --ignore-not-found
-      fi
+          --region=${_REGION} --format="none" 2>/dev/null; then
+          gcloud container clusters get-credentials ${_CLUSTER_NAME} \
+            --project=${PROJECT_ID} \
+            --region=${_REGION}
+          
+          # Delete namespace (this will delete all resources in it)
+          kubectl delete namespace ${_NAMESPACE} --ignore-not-found
+        fi
 
-- id: 'cleanup-iam'
-  name: 'gcr.io/google.com/cloudsdktool/cloud-sdk'
-  waitFor: ['delete-k8s-resources']
-  entrypoint: 'bash'
-  args:
-    - '-c'
-    - |
-      # Remove IAM bindings
-      gcloud projects remove-iam-policy-binding ${PROJECT_ID} \
-        --member="serviceAccount:${_IAM_SA_NAME}@${PROJECT_ID}.iam.gserviceaccount.com" \
-        --role="roles/aiplatform.admin" \
-        --quiet || true
+  - id: "cleanup-iam"
+    name: "gcr.io/google.com/cloudsdktool/cloud-sdk"
+    waitFor: ["delete-k8s-resources"]
+    entrypoint: "bash"
+    args:
+      - "-c"
+      - |
+        # Remove IAM bindings
+        gcloud projects remove-iam-policy-binding ${PROJECT_ID} \
+          --member="serviceAccount:${_IAM_SA_NAME}@${PROJECT_ID}.iam.gserviceaccount.com" \
+          --role="roles/aiplatform.admin" \
+          --quiet || true
 
-      # Delete service account
-      gcloud iam service-accounts delete ${_IAM_SA_NAME}@${PROJECT_ID}.iam.gserviceaccount.com \
-        --project=${PROJECT_ID} \
-        --quiet || true
+        # Delete service account
+        gcloud iam service-accounts delete ${_IAM_SA_NAME}@${PROJECT_ID}.iam.gserviceaccount.com \
+          --project=${PROJECT_ID} \
+          --quiet || true
 
-- id: 'delete-cluster'
-  name: 'gcr.io/google.com/cloudsdktool/cloud-sdk'
-  waitFor: ['cleanup-iam']
-  entrypoint: 'bash'
-  args:
-    - '-c'
-    - |
-      # Delete GKE cluster
-      echo "Deleting GKE cluster..."
-      gcloud container clusters delete ${_CLUSTER_NAME} \
-        --project=${PROJECT_ID} \
-        --region=${_REGION} \
-        --quiet || true
+  - id: "delete-cluster"
+    name: "gcr.io/google.com/cloudsdktool/cloud-sdk"
+    waitFor: ["cleanup-iam"]
+    entrypoint: "bash"
+    args:
+      - "-c"
+      - |
+        # Delete GKE cluster
+        echo "Deleting GKE cluster..."
+        gcloud container clusters delete ${_CLUSTER_NAME} \
+          --project=${PROJECT_ID} \
+          --region=${_REGION} \
+          --quiet || true
 
-- id: 'delete-registry'
-  name: 'gcr.io/google.com/cloudsdktool/cloud-sdk'
-  waitFor: ['delete-cluster']
-  entrypoint: 'bash'
-  args:
-    - '-c'
-    - |
-      # Delete Artifact Registry repository
-      echo "Deleting Artifact Registry repository..."
-      gcloud artifacts repositories delete ${_ARTIFACT_REGISTRY_ID} \
-        --project=${PROJECT_ID} \
-        --location=${_REGION} \
-        --quiet || true
+  - id: "delete-registry"
+    name: "gcr.io/google.com/cloudsdktool/cloud-sdk"
+    waitFor: ["delete-cluster"]
+    entrypoint: "bash"
+    args:
+      - "-c"
+      - |
+        # Delete Artifact Registry repository
+        echo "Deleting Artifact Registry repository..."
+        gcloud artifacts repositories delete ${_ARTIFACT_REGISTRY_ID} \
+          --project=${PROJECT_ID} \
+          --location=${_REGION} \
+          --quiet || true
 
-timeout: '1800s'
+timeout: "1800s"
 options:
   logging: CLOUD_LOGGING_ONLY
   dynamicSubstitutions: true
@@ -85,5 +85,5 @@ substitutions:
   _CLUSTER_NAME: computer-use-demo-cluster
   _NAMESPACE: computer-use-demo
   _IAM_SA_NAME: computer-use-sa
-  _ARTIFACT_REGISTRY_ID: computer-use-ar-repo  # Added this
-tags: ['gke-cleanup', '${_CLUSTER_NAME}']
+  _ARTIFACT_REGISTRY_ID: computer-use-ar-repo # Added this
+tags: ["gke-cleanup", "${_CLUSTER_NAME}"]