Upload 4 files

app.py

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+from fastai.vision.all import *
+import gradio as gr
+
+def is_cat(x):
+	return x[0].isupper()
+
+learn = load_learner('model.pkl')
+
+categories = ('Cat', 'Dog')
+
+def classify_image(img):
+	pred, idx, probs = learn.predict(img)
+	return dict(zip(categories, map(float, probs)))
+
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+# examples = ['dog.jpg', 'cat.jpg', 'dunno.jpg']
+
+intf = gr.Interface(fn=classify_image, 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 sha256:335a91b193ab31e25a54cde80fc7b4836423d042050859d8129233c5e2f0189a
+size 46958699

requirements.txt

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+fastai