Nikitha-Narendra
/
Kvasir-Image-Segmentation-Deployment
mirror of https://git-codecommit.us-east-2.amazonaws.com/v1/repos/sagemaker-KSegmentation-p-vz0cixq4iruw-modeldeploy


  
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            version: 0.2

phases:
  install:
    runtime-versions:
      python: 3.8
    commands:
      # Upgrade AWS CLI to the latest version
      - pip install --upgrade --force-reinstall "botocore>1.21.30" "boto3>1.18.30" "awscli>1.20.30" "mlflow" "sagemaker" "tensorflow"

  pre_build:
    commands:
      - TRACKING_URI="https://dagshub.com/Nikitha-Narendra/Sagemaker-Deployment.mlflow"
      - MODEL_NAME="kvasir-segmentation"
      - MODEL_VERSION="5"
      - INSTANCE_TYPE="ml.m5.xlarge"
      - CONTAINER_URI="456428195471.dkr.ecr.us-east-2.amazonaws.com/mlflow-pyfunc:2.5.0"
      - INITIAL_INSTANCE_COUNT="1"
     
      
  build:
    commands:
      # Export the staging and production configuration files
      - python build.py --model-execution-role ${MODEL_EXECUTION_ROLE_ARN} --sagemaker-project-id ${SAGEMAKER_PROJECT_ID} --sagemaker-project-name ${SAGEMAKER_PROJECT_NAME} --s3-bucket ${ARTIFACT_BUCKET}  --tracking-uri ${TRACKING_URI} --model-name ${MODEL_NAME} --model-version ${MODEL_VERSION} --container-image-uri ${CONTAINER_URI} --initial-instance-count ${INITIAL_INSTANCE_COUNT} --instance-type ${INSTANCE_TYPE} --mlflow-username ${MLFLOW_TRACKING_USERNAME} --mlflow-token ${MLFLOW_TRACKING_PASSWORD} 
      - echo "Deployment complete"