Create app.py

app.py

@@ -0,0 +1,19 @@
+__all__ = ['learn', 'classify_image', 'categories', 'image', 'label', 'examples', 'intf']
+
+from fastai.vision.all import *
+import gradio as gr
+
+learn = load_learner('export.pkl')
+
+categories = ('black', 'grizzly', 'teddy')
+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 = ['Ronan_Grizzly_Bear_1.jpg','blackbear.jpg',
+            'blackbear2.jpg','brownbear.jpg',
+           'polar.jpg']
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)