chloechia commited on
Commit
191ff4b
·
1 Parent(s): 8716197

Update app.py

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Files changed (1) hide show
  1. app.py +12 -10
app.py CHANGED
@@ -1,23 +1,25 @@
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- import gradio as gr
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- from fastai.vision.all import *
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  def is_cat(x): return x[0].isupper()
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-
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  learn = load_learner('model.pkl')
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  categories = ('Dog', 'Cat')
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-
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  def classify_image(img):
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- pred, ids, probs = learn.predict(img)
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- return dict(zip(categories, map(float, probs)))
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-
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  image = gr.inputs.Image(shape=(192, 192))
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  label = gr.outputs.Label()
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- examples = ['shihzu.jpg']
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- iface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
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- iface.launch(inline=False)
 
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+ __all__ = ['is_cat', '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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  def is_cat(x): return x[0].isupper()
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+ # Cell
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  learn = load_learner('model.pkl')
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+ # Cell
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  categories = ('Dog', 'Cat')
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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=(192, 192))
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  label = gr.outputs.Label()
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+ examples = ['shihtzu.jpg']
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+ intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
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+ intf.launch(inline=False)