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app.py
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# AUTOGENERATED! DO NOT EDIT! File to edit: . (unless otherwise specified).
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__all__ = ['learn', 'classify_image', 'categories', 'image', 'label', 'examples', 'intf']
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# Cell
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from fastai.vision.all import *
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import gradio as gr
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# Cell
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learn=load_learner("metamodel.pkl")
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# Cell
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categories = ("Foundation Pouring","Frame Installation","Land Excavation")
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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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# Cell
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image = gr.Inputs.Image(shape=(512,512))
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label = gr.Outputs.Label()
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examples = ['FoundationPouring00.PNG','FrameInstallation00.PNG','LandExcavation00.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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