I have run a Natural Language AutoML Text Classification model on google cloud platform. The data I used to train the model can be exported to a csv file in a bucket. The file has 3 columns (1. train/validation/test, 2. gs:// reference to the actual content, 3. prediction result/label) as in the below example.
TRAIN gs://[bucket_name]/[folder]/uploads/content/RrpGCDwgse0.txt Website
My question is how to get the actual content out of the gs:// reference so I can look at each row to determine if the predicted labels are correct or not. The output should be in a csv file with the string content, not the gs:// reference.