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app.py

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+
+#!export
+from fastai.vision.all import *
+import gradio as gr
+
+def is_cat(x): return x[0].isupper()
+
+#!export
+learn = load_learner('model.pkl')
+
+#!export
+categories = ('Dog', 'Cat')
+
+def classify_images(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+#!export
+image = gr.Image(inputs=(192, 192))
+label = gr.Label()
+examples = ['dog.png']
+intf = gr.Interface(fn=classify_images, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)
+
+
+

model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:70f33497161131e9bf60c90b8eddc1ae80a4289d09ea2b9173efdf415100e5da
+size 47060011