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app.py
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@@ -1,7 +1,7 @@
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# AUTOGENERATED! DO NOT EDIT! File to edit: ../01.ipynb.
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# %% auto 0
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__all__ = ['learner', 'labels', 'image', 'predict']
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# %% ../01.ipynb 3
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from fastai.vision.all import *
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@@ -23,4 +23,10 @@ import gradio as gr
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image = gr.inputs.Image(shape=(512, 512))
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outputs = gr.outputs.Label(num_top_classes=3)
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# AUTOGENERATED! DO NOT EDIT! File to edit: ../01.ipynb.
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# %% auto 0
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__all__ = ['learner', 'labels', 'image', 'outputs', 'title', 'description', 'examples', 'interpretation', 'predict']
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# %% ../01.ipynb 3
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from fastai.vision.all import *
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image = gr.inputs.Image(shape=(512, 512))
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outputs = gr.outputs.Label(num_top_classes=3)
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title = "Road vs Gravel Bike Classifier"
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description = "Since for a human it's sometimes almost impossible to distuingish the two, let's see if an AI is better at telling them apart!"
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examples = ['gravelbike.jpeg', 'roadbike.jpeg']
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interpretation='default'
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gr.Interface(fn=predict, inputs=image, outputs=outputs, title=title, description=description, examples=examples).launch(inline=False)
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