initial version

app.py

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+import gradio as gr
+from fastai.vision.all import *
+
+learner = load_learner('model.pkl')
+categories = ("Dog", "Cat")
+
+
+def infer(img):
+    _, _, prob = learner.predict(img)
+    return dict(zip(categories, map(float, prob)))
+
+image = gr.inputs.Image(shape(192, 192))
+label = gr.outputs.Label()
+
+iface = gr.Interface(fn=infer, inputs=image, outputs=label)
+iface.launch()

model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:ac592727538df8f585ee34044b3ae7c6841a5e5259187210eda57baa1c8ef5b3
+size 47058513