Add application file

app.py

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+import gradio as gr
+from fastai.vision.all import *
+
+
+def is_cat(x): return x[0].isupper
+
+
+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()
+examples = ['Dog.jpg', 'Cat.jpg', 'dunno.jpg']
+
+
+iface = gr.Interface(fn=classify_image, inputs=image,
+                     outputs=label, examples=examples)
+iface.launch(inline=False)

model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b1851de196b8ecbac3a78db06a0712d5f06add14186d324265bcf9820bffc943
+size 47061419