fix: use dynamic label names for inference to match training dataset

[Mani-Babapour]

Previously, the inference section used a hardcoded list of labels:
['no', 'yes', 'down', 'go', 'left', 'up', 'right', 'stop'],
which may not match the order of class names in train_ds.class_names.
This could lead to incorrect labeling in prediction visualizations.

This commit replaces the hardcoded labels with label_names from the training dataset to ensure the model's outputs are correctly mapped to their respective labels.

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[github-actions]

Preview

Preview and run these notebook edits with Google Colab:

• site/en/tutorials/audio/simple_audio.ipynb

Rendered notebook diffs available on ReviewNB.com.

Format and style

Use the TensorFlow docs notebook tools to format for consistent source diffs and lint for style:

$ python3 -m pip install -U --user git+https://github.com/tensorflow/docs 
$ python3 -m tensorflow_docs.tools.nbfmt notebook.ipynb 
$ python3 -m tensorflow_docs.tools.nblint --arg=repo:tensorflow/docs notebook.ipynb 

If commits are added to the pull request, synchronize your local branch: git pull origin fix-simple-audio

[DhanushPillay]

Good, nice work

[Mani-Babapour]

Thanks for the positive feedback!

…

On Mon, Dec 8, 2025 at 1:26 PM Dhanush Pillay ***@***.***> wrote: ***@***.**** commented on this pull request. Good, nice work — Reply to this email directly, view it on GitHub <#2403 (review)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AQZAV6N5IOOUEF4MGE2OWVD4AVDOVAVCNFSM6AAAAACNS2RKACVHI2DSMVQWIX3LMV43YUDVNRWFEZLROVSXG5CSMV3GSZLXHMZTKNJRGE2TMMRTGM> . You are receiving this because you authored the thread.Message ID: ***@***.***>