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__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'is_cat', 'classify_image']
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!pip install -Uqq fastai
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from fastai.vision.all import *
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!pip install gradio
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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 = ['cat.jpeg']
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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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