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Runtime error
Runtime error
Julien Simon
commited on
Commit
•
515a989
1
Parent(s):
e130e80
Cleanup
Browse files
app.py
CHANGED
@@ -7,16 +7,13 @@ p = pipeline("audio-classification", model=model_name)
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def process(file):
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pred = p(file)
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for l in pred:
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labels[l['label']]=l['score']
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return labels
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# Gradio inputs
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mic = gr.inputs.Audio(source='microphone', type='filepath', label='Speech input'
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# Gradio outputs
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-
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description = "This Space showcases a wav2vec2-conformer-rel-pos-large model fine-tuned for audio classification on the speech_commands dataset. \n \n It can spot one of the following keywords: 'Yes', 'No', 'Up', 'Down', 'Left', 'Right', 'On', 'Off', 'Stop', 'Go', 'Zero', 'One', 'Two', 'Three', 'Four', 'Five', 'Six', 'Seven', 'Eight', 'Nine', 'Bed', 'Bird', 'Cat', 'Dog', 'Happy', 'House', 'Marvin', 'Sheila', 'Tree', 'Wow', 'Backward', 'Forward', 'Follow', 'Learn', 'Visual'."
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@@ -24,9 +21,8 @@ iface = gr.Interface(
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theme='huggingface',
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description=description,
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fn=process,
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layout='horizontal',
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inputs=[mic],
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outputs=[
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examples=[
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['backward16k.wav'],
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['happy16k.wav'],
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@@ -35,6 +31,7 @@ iface = gr.Interface(
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['stop16k.wav'],
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['up16k.wav'],
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],
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allow_flagging=
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)
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iface.launch()
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def process(file):
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pred = p(file)
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return { x['label']:x['score'] for x in pred}
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# Gradio inputs
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mic = gr.inputs.Audio(source='microphone', type='filepath', label='Speech input')
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# Gradio outputs
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labels = gr.outputs.Label(num_top_classes=3)
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description = "This Space showcases a wav2vec2-conformer-rel-pos-large model fine-tuned for audio classification on the speech_commands dataset. \n \n It can spot one of the following keywords: 'Yes', 'No', 'Up', 'Down', 'Left', 'Right', 'On', 'Off', 'Stop', 'Go', 'Zero', 'One', 'Two', 'Three', 'Four', 'Five', 'Six', 'Seven', 'Eight', 'Nine', 'Bed', 'Bird', 'Cat', 'Dog', 'Happy', 'House', 'Marvin', 'Sheila', 'Tree', 'Wow', 'Backward', 'Forward', 'Follow', 'Learn', 'Visual'."
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theme='huggingface',
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description=description,
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fn=process,
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inputs=[mic],
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outputs=[labels],
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examples=[
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['backward16k.wav'],
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['happy16k.wav'],
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['stop16k.wav'],
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['up16k.wav'],
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],
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allow_flagging='never',
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)
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iface.launch()
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