deployment file update

.github/workflows/deploy.yml

@@ -38,8 +38,8 @@ jobs:
 
       - name: Build and push Docker image
         run: |
-          docker build -t ${{ secrets.ACCOUNT_ID }}.dkr.ecr.${{ secrets.AWS_REGION }}.amazonaws.com/customer_support_bot:latest .
-          docker push ${{ secrets.ACCOUNT_ID }}.dkr.ecr.${{ secrets.AWS_REGION }}.amazonaws.com/customer_support_bot:latest
+          docker build -t ${{ secrets.ACCOUNT_ID }}.dkr.ecr.${{ secrets.AWS_REGION }}.amazonaws.com/customer-support-chatbot:latest .
+          docker push ${{ secrets.ACCOUNT_ID }}.dkr.ecr.${{ secrets.AWS_REGION }}.amazonaws.com/customer-support-chatbot:latest
 
       - name: Deploy model to SageMaker
         run: |
@@ -47,5 +47,5 @@ jobs:
             --account_id ${{ secrets.ACCOUNT_ID }} \
             --region ${{ secrets.AWS_REGION }} \
             --role_arn ${{ secrets.SAGEMAKER_ROLE_ARN }} \
-            --ecr_repo_name "customer_support_bot" \
+            --ecr_repo_name "customer-support-chatbot" \
             --endpoint_name "customer-support-chatbot"

src/deploy_sagemaker.py

@@ -26,14 +26,12 @@ def deploy_app(acc_id, region_name, role_arn, ecr_repo_name, endpoint_name="cust
     
     # Define the image URI in ECR
     ecr_image = f"{acc_id}.dkr.ecr.{region_name}.amazonaws.com/{ecr_repo_name}:latest"
-    model_name = f"customer-support-chatbot-{datetime.now().strftime('%Y%m%d-%H%M%S')}"
 
     # Define model
     model = Model(
         image_uri=ecr_image,
         role=role_arn,
-        sagemaker_session=sagemaker_session,
-        model_name=model_name  # Use the compliant model name
+        sagemaker_session=sagemaker_session
     )
 
     # Deploy model as a SageMaker endpoint