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Update app.py
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app.py
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import gradio as gr
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import gradio as gr
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from fastai.vision.all import *
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categories = ('Dog', 'Cat')
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learn = load_learner('model1.pk1')
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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', 'dumo.jpg']
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demo = gr.Interface(fn=classify_image, inputs=image, outputs= label)
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demo.launch(inline = False)
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m = learn.model
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ps = list(m.parameters())
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ps[1]
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