# establishing a connection to the client
# Project names are globally unique namespaces, similar to
# a bucket name in S3 or GCS. For this quickstart, we make sure
# we create a unique project name.
PROJECT_NAME = "My_Project_Name"
# the classnames file is a literal list of strings in a JSON file
# ex: ["red", "blue", "yellow"]
with open('./classnames.json') as f:
classnames = json.load(f)
# now we actually use the Aquarium client to create the project
# from_classnames() converts our string list into valid class objects
# primary_task tells us what kind of ML task this project will be used for