from_unlabeled_data_to_deployed_machine_learning_model_ground_truth_demo_image_classification.ipynb failed CI

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

Error:

---------------------------------------------------------------------------
Exception encountered at "In [1]":
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AssertionError Traceback (most recent call last)
in
22
23 BUCKET = '<< YOUR S3 BUCKET NAME >>'
---> 24 assert BUCKET != '<< YOUR S3 BUCKET NAME >>', 'Please provide a custom S3 bucket name.'
25 EXP_NAME = 'ground-truth-ic-demo' # Any valid S3 prefix.
26 RUN_FULL_AL_DEMO = True # See 'Cost and Runtime' in the Markdown cell above!

AssertionError: Please provide a custom S3 bucket name.

Open the linked notebook and inspect the first cell, especially the BUCKET assertion that fails during CI. Determine how this notebook should provide or handle the required custom S3 bucket in CI, then rerun the notebook validation and confirm the placeholder assertion no longer fails.

Written by the indexing model from the issue text.