fix: use dynamic label names for inference to match training dataset
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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git pull origin fix-simple-audio
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
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