Initial commit

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 = ('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.png', 'cat.png', 'dunno.png']
+
+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 sha256:471d5b6a7562010e5d3c9077c1055a4c65b6367bbef19c817483e07d769dfffb
+size 47110507