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app.py
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import gradio as gr
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return "Hello " + name + "!!"
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from fastai.vision.all import *
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import gradio as gr
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learn = load_learner('model.pkl')
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categories = ('female', 'male')
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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']
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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.jpg
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requirements.txt
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fastai>=2.0.0
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