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__all__=['is_cat','learn','classify_image','categories','image','label','examples','intf'] |
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from fastai.vision.all import* |
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import gradio as gr |
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def is_cat(x): return x[0].isupper() |
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learn=load_learner('model.pkl') |
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categories=('dog','cat') |
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def classify_image(img): |
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pred,idx,probs=learn.predict(img) |
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return dict(zip(categories, map(float,probs))) |
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image=gr.inputs.Image(shape=(192,192)) |
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label = gr.outputs.Label() |
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examples=['dog.jpg','cat.jpg','dunno.jpg'] |
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intf=gr.Interface(fn=classify_image,inputs=image,outputs=label,examples=examples) |
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intf.launch(inline=False) |
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