g and b were switched

app.py

@@ -12,8 +12,8 @@ learn = load_learner(model_path)
 def classify_bear(img):
     pred, pred_idx, probs = learn.predict(img)
     return {
-        'grizzly': float(probs[0]),
-        'black': float(probs[1]),
+        'black': float(probs[0]),
+        'grizzly': float(probs[1]),
         'teddy': float(probs[2])
     }