Added example images. Moved categories before function.

app.py

@@ -7,14 +7,12 @@ warnings.filterwarnings("ignore", category=UserWarning, module="fastai.learner")
 
 learn = load_learner('export.pkl')
 
+categories = ('Black', 'Grizzly', 'Teddy')
 
 def classify_bear(image):
     pred, pred_idx, probs = learn.predict(image)
     return dict(zip(categories, map(float, probs)))
 
-
-categories = ('Black', 'Grizzly', 'Teddy')
-
 image = gr.Image(height=192, width=192)
 label = gr.Label(num_top_classes=3)
 examples = ['bear1.jpeg', 'bear2.jpeg', 'bear3.jpeg']