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app.py

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+__all__ = ['learn', 'classify_image', 'categories', 'image', 'label', 'examples', 'intf' ]
+
+from fastai.vision.all import *
+import gradio as gr
+
+learn = load_learner('model.pkl')
+
+categories = ('black', 'grizzly', 'koala')
+
+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 = ['black-bear.jpg', 'grizzly-bear.jpg']
+
+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 sha256:86dca289cac268ce79db0151af2ec4b47806407c13d6d2bbe953e389da2ce3d3
+size 46961213