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app.py
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import gradio as gr
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from fastai.vision.all import *
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import gradio as gr
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learn = load_learner('./export.pkl')
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categories = ('Cat', 'Dog')
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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.jpg', 'dog.png']
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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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cat.jpg
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dog.png
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export.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:a86409ce117347870b7b5f78f2cfe258b30e09ac51632ca474850726c09f65c5
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size 87774910
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