init 2

app.py

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+import gradio as gr
+from fastai.vision.all import *
+
+def is_cat(x):
+    return x[0].isupper()
+
+learner = load_learner('model.pkl')
+
+categories = ('Dog', 'Cat')
+def classify_image(img):
+    pred, idx, probs = learner.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.jpeg']
+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 sha256:90409477cb91672f91d9cb24713f729ed65bc8bc5d95d3c1f92f22a34e18e7bf
+size 47061291