cat vs dog

app.py

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+# %%
+#|default_exp app
+
+# %%
+#|export
+import gradio as gr
+from fastai.vision.all import *
+
+def is_cat(x): return x[0].isupper()
+
+
+learn = load_learner('model.pkl')
+
+#|export
+categories = ('Dog', 'Cat')
+
+def classify_image(im):
+    pred, pred_idx, probs = learn.predict(im)
+    return dict(zip(categories, map(float, probs)))
+
+
+#|export
+image = gr.Image(type="pil")
+label = gr.Label(num_top_classes=2)
+examples = ['dog.jpg', 'cat.jpg', 'bear.jpg']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(share=True, inline=False)
+
+

model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:07792ba7b19a43ba13fadf3cd10efa0c92929cc1c51af1bc183a4010d14963f1
+size 47061419