why does learner need is cat?
Browse files
app.py
CHANGED
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@@ -1,10 +1,10 @@
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from fastai.vision.all import *
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import gradio as gr
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learner = load_learner('model.pkl')
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categories = ("Dog", "Cat")
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def is_cat(x): return x[0].isupper()
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def infer(img):
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_, _, prob = learner.predict(img)
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return dict(zip(categories, map(float, prob)))
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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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learner = load_learner('model.pkl')
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categories = ("Dog", "Cat")
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def infer(img):
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_, _, prob = learner.predict(img)
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return dict(zip(categories, map(float, prob)))
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