Let's see if this works

app.py

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+
+import gradio as gr
+
+title = "Bear Classifier"
+description = "A classifier that differentiates between grizzly, black, and teddy bears."
+examples = [f'examples/{bear_type}.jpg' for bear_type in {'grizzly', 'black', 'teddy'}]
+queue_size = 20
+
+
+demo = gr.Interface(
+    fn=predict,
+    inputs=gr.Image(width=512, height=512),
+    outputs=gr.Label(num_top_classes=3),
+    title=title,
+    description=description,
+    examples=examples
+)
+demo.queue(max_size=queue_size)
+demo.launch()
+

export.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:6bc49a5de53bf075ed580831504559fafeed819db7c99cf3eba8ac81f440f695
+size 46975294

requirements.txt

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+fastai
+scikit-image