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Add app.py
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app.py
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#!/usr/bin/env python
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# coding: utf-8
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import fastbook
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import gradio
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import PIL
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import gradio as gr
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learner = fastbook.load_learner("./zidane_scholes_mbappe.pkl")
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labels = learner.dls.vocab
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labels
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def predict(img):
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# img = fastbook.PILImage.create(img)
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pred, pred_idx, probs = learner.predict(img)
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return {labels[i]: float(probs[i]) for i in range(len(labels))}
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gr.Interface(
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fn=predict,
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inputs=gr.inputs.Image(shape=(512, 512)),
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outputs=gr.outputs.Label(num_top_classes=3)
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).launch(
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share=True
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)
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