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app.py
CHANGED
@@ -6,6 +6,7 @@ def predict(img):
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img = PILImage.create(img)
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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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inter_arguments = {
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"fn": predict,
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"inputs":gr.inputs.Image(shape=(512, 512)),
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@@ -13,7 +14,7 @@ inter_arguments = {
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"title": "Dog Breed Classifier",
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"description": "It contains the ten main breeds of dogs, including Beagle, Bulldog, Chihuahua, Dachshund, German Sheperd, Golden Retriver, Husky, Malamute and Poodle",
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"interpretation": 'default',
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"examples": ["Chihuahua_1.jpg"],
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"article": "<p style='text-align: center'><a href='https://tmabraham.github.io/blog/gradio_hf_spaces_tutorial' target='_blank'>Blog post</a></p>"
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}
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img = PILImage.create(img)
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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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+
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inter_arguments = {
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"fn": predict,
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"inputs":gr.inputs.Image(shape=(512, 512)),
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"title": "Dog Breed Classifier",
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"description": "It contains the ten main breeds of dogs, including Beagle, Bulldog, Chihuahua, Dachshund, German Sheperd, Golden Retriver, Husky, Malamute and Poodle",
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"interpretation": 'default',
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"examples": ["images/Chihuahua_1.jpg"],
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"article": "<p style='text-align: center'><a href='https://tmabraham.github.io/blog/gradio_hf_spaces_tutorial' target='_blank'>Blog post</a></p>"
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}
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