aws-samples / aws-samples/amazon-sagemaker-asynchronous-inference-computer-vision

ERROR - /.sagemaker/ts/models/model.mar already exists.

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Description

Thanks for the great and informative tutorial.
I followed your tutorial step by step but i got in this error after executing these lines code.

`print(model_name)
endpoint_config_name = f"DetectionEndpointConfig-{strftime('%Y-%m-%d-%H-%M-%S', gmtime())}"
create_endpoint_config_response = sm_client.create_endpoint_config(
EndpointConfigName=endpoint_config_name,
ProductionVariants=[
{
"VariantName": "variant1",
"ModelName": model_name,
"InstanceType": "ml.g4dn.xlarge",
"InitialInstanceCount": 1
}
]
)
print(f"Created EndpointConfig: {create_endpoint_config_response['EndpointConfigArn']}")`

`endpoint_name = f"sm-{strftime('%Y-%m-%d-%H-%M-%S', gmtime())}"
response = sm_client.create_endpoint(
EndpointName=endpoint_name,
EndpointConfigName=endpoint_config_name,
)`

`waiter = boto3.client('sagemaker').get_waiter('endpoint_in_service')
print("Waiting for endpoint to create...")
waiter.wait(EndpointName=endpoint_name)`

My end point is not creating and it is in waiting state for more then 30 mins.
It output cloudwatch logs:

`2023-07-23T15:05:42.086-07:00 | Please specify --force/-f option to overwrite the model archive output file.
2023-07-23T15:05:42.086-07:00CopySee -h/--help for more details. | See -h/--help for more details.
2023-07-23T15:05:42.087-07:00 | ERROR - /.sagemaker/ts/models/model.mar already exists.
2023-07-23T15:05:42.087-07:00 | Please specify --force/-f option to overwrite the model archive output file.
2023-07-23T15:05:42.087-07:00 | See -h/--help for more details.`

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