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Gilles
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e80c983
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Parent(s):
b024a8d
[CREATE] Initial book type prediction app
Browse files- app.py +16 -4
- fantasy.jpg +0 -0
- non fiction.jpg +0 -0
- romance.jpg +0 -0
- scifi.jpg +0 -0
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 = learn.dls.vocab
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def classify_image(img):
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img = PILImage.create(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 = ['romance.jpg', 'non fiction.jpg', 'scifi.jpg', 'fantasy.jpg',]
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iface = gr.Interface(fn=classify_image, inputs=image, outputs=label,
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examples=examples)
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iface.launch(inline=False)
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fantasy.jpg
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non fiction.jpg
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romance.jpg
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scifi.jpg
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