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app.py
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from fastbook import *
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from fastai.vision.widgets import *
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from time import sleep
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import gradio as gr
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learn_inf = load_learner(path/'export.pkl')
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categories = ('pink lady apple', 'red delicious apple', 'royal gala apple')
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def classify_image(img):
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pred,idx,probs = learned.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 = ['maca.jpg', 'maca2.jpg', 'maca3.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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