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Update app.py
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app.py
CHANGED
@@ -13,7 +13,9 @@ learn = load_learner('xresnet50_pitch3.pkl')
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labels = learn.dls.vocab
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def predict(
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pred,pred_idx,probs = learn.predict(str(path))
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return {labels[i]: float(probs[i]) for i in range(len(labels))}
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@@ -27,8 +29,8 @@ article="<p style='text-align: center'><a href='mizoru.github.io/blog' target='_
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interpretation='default'
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examples = ['代わる.mp3','大丈夫な.mp3','熱くない.mp3']
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enable_queue=True
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gr.Interface(fn=predict,inputs=gr.inputs.Audio(source='microphone', type='filepath'),outputs=gr.outputs.Label(num_top_classes=3),title=title,description=description,article=article,examples=examples).launch(debug=True,share=True,enable_queue=enable_queue)
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labels = learn.dls.vocab
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def predict(path_mic, path_upload):
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if path_upload: path = path_upload
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else: path = path_mic
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pred,pred_idx,probs = learn.predict(str(path))
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return {labels[i]: float(probs[i]) for i in range(len(labels))}
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interpretation='default'
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examples = [['代わる.mp3'],['大丈夫な.mp3'],['熱くない.mp3']]
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enable_queue=True
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gr.Interface(fn=predict,inputs=[gr.inputs.Audio(source='microphone', type='filepath', optional=True), gr.inputs.Audio(source='upload', type='filepath', optional=True] ,outputs=gr.outputs.Label(num_top_classes=3),title=title,description=description,article=article,examples=examples).launch(debug=True,share=True,enable_queue=enable_queue)
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