GT_semantic_segmentation_to_COCO.ipynb failed CI

Link to the notebook:
https://github.com/aws/amazon-sagemaker-examples/blob/master/ground_truth_labeling_jobs/ground_truth_conversion_scripts/GT_semantic_segmentation_to_COCO.ipynb

Error:

---------------------------------------------------------------------------
Exception encountered at "In [2]":
---------------------------------------------------------------------------
InvalidRegionError Traceback (most recent call last)
in
4 JOBNAME = '' #Replace it with the labeling job name
5 REGION = '' #Replace it with the job region
----> 6 client = boto3.client('sagemaker',region_name=REGION)
7 response = client.describe_labeling_job(LabelingJobName= JOBNAME)
8 file = response['LabelingJobOutput']['OutputDatasetS3Uri']

/opt/conda/lib/python3.7/site-packages/boto3/__init__.py in client(*args, **kwargs)
91 See :py:meth:`boto3.session.Session.client`.
92 """
---> 93 return _get_default_session().client(*args, **kwargs)
94
95

/opt/conda/lib/python3.7/site-package

[...]

InvalidRegionError: Provided region_name '' doesn't match a supported format.

Open ground_truth_labeling_jobs/ground_truth_conversion_scripts/GT_semantic_segmentation_to_COCO.ipynb and inspect cell In [2], starting with the boto3 SageMaker client creation. Run the notebook's CI validation and confirm it no longer raises InvalidRegionError for the configured region.

Written by the indexing model from the issue text.