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Update app.py
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app.py
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@@ -8,14 +8,13 @@ learn = load_learner('export.pkl')
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labels = learn.dls.vocab
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def predict(img):
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examples = ['image1.jpg', 'image2.jpg']
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interpretation='default'
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enable_queue=True
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gr.Interface(fn=predict, inputs=gr.components.Image(), outputs=gr.components.Label(num_top_classes=3), examples=examples,
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labels = learn.dls.vocab
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def predict(img):
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img = PILImage.create(img)
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img = img.resize((512, 512))
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pred,pred_idx,probs = learn.predict(img)
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return {labels[i]: float(probs[i]) for i in range(len(labels))}
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examples = ['image1.jpg', 'image2.jpg']
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enable_queue=True
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gr.Interface(fn=predict, inputs=gr.components.Image(), outputs=gr.components.Label(num_top_classes=3), examples=examples, enable_queue=enable_queue).launch()
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