Utilisation de l'API Natural Language pour classer du texte non structuré avis

This is a terrible lab. Only those who are intimiately familiar with the Google environment and Python would argue otherwise. Or, maybe, it's the result of Google making changes that weren't recognized by the lab. For example, it asks you to create 2 files (request.json, classify-text.py), which is easy enough, and provides the syntax to include. However, you have no idea how to reference those files from the command line (i.e., the path on your computer, or how to create and reference them elsewhere if not), so you're just left guessing. So, when you type this: python3 classify-text.py You get this message: python3: can't open file 'classify-text.py': [Errno 2] No such file or directory There is also some other computer syntax provided that says that it can be executed from Google Cloud Shell but provides an error. Part of this I blame on Google, not Qwiklabs, if not the same. It makes no sense to have so many command-line calls, which isn't user-friendly. Am I going to remember these calls? Really? This is the reason why we still don't use the computer's copy-command to move files from one directory to another, and why Windows was such a success--because it's just stupid to have to type all this garbage. Otherwise, you end up having to save each code bundle, and makes it much more difficult. Overall, I'm disappointed with not just Qwiklabs but Google too. Put it in a GUI-format that remembers my log-in info and allows me to paste any variables required in text-boxes and click on a few buttons to complete my job. Otherwise, as a potential customer who's now dismayed, IBM AI is preferable.

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