sagemaker invoke real time endpoint

invoke_realtime.py

import boto3

sm_client = boto3.client('sagemaker', region_name='us-east-1')
sagemaker_runtime = boto3.client("sagemaker-runtime", region_name='us-east-1')

# The name of the endpoint. The name must be unique within an AWS Region in your AWS account.
endpoint_name='titanic-survival-endpoint1'

# After you deploy a model into production using SageMaker hosting
# services, your client applications use this API to get inferences
# from the model hosted at the specified endpoint.
response = sagemaker_runtime.invoke_endpoint(
                                EndpointName=endpoint_name,
                                Body=b'1, 1, 25, 1, 1, 8, 1',
                                ContentType='text/csv',
                                Accept='text/csv')
print(response)
print(eval(response['Body'].read()))