Add application file

app.py

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+import gradio as gr
+
+learn = load_learner('model.pkl')
+
+categories = ('Dog', 'Cat')
+
+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()
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label)
+intf.launch()

model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:83f1f56dac67fb62b7d8d4ff27723740e61066286d0266628fba83860ee308da
+size 47061419

requirements.txt

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+fastai