fix import
Browse files
app.py
CHANGED
@@ -1,7 +1,9 @@
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# AUTOGENERATED! DO NOT EDIT! File to edit: ../02_tipos_rua.ipynb.
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# %% auto 0
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__all__ = ['learn_deploy', 'categories', 'image',
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# %% ../02_tipos_rua.ipynb 45
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import gradio as gr
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@@ -13,14 +15,17 @@ learn_deploy = load_learner('export.pkl')
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# %% ../02_tipos_rua.ipynb 48
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categories = ('estrada de chão', 'rua asfaltada')
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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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# %% ../02_tipos_rua.ipynb 52
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image = gr.inputs.Image(shape=(192,192))
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label = gr.outputs.Label()
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examples = ['asfaltada.jpg', 'estrada.jpg']
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intf = gr.Interface(fn=classify_image, inputs=image,
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intf.launch(inline=False)
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# AUTOGENERATED! DO NOT EDIT! File to edit: ../02_tipos_rua.ipynb.
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import gradio as gr
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from fastai.vision.all import *
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# %% auto 0
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__all__ = ['learn_deploy', 'categories', 'image',
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'label', 'examples', 'intf', 'classify_image']
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# %% ../02_tipos_rua.ipynb 45
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import gradio as gr
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# %% ../02_tipos_rua.ipynb 48
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categories = ('estrada de chão', 'rua asfaltada')
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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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# %% ../02_tipos_rua.ipynb 52
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image = gr.inputs.Image(shape=(192, 192))
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label = gr.outputs.Label()
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examples = ['asfaltada.jpg', 'estrada.jpg']
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intf = gr.Interface(fn=classify_image, inputs=image,
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outputs=label, examples=examples)
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intf.launch(inline=False)
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