updated classification threshold

app.py

@@ -9,7 +9,7 @@ categories = {'Dog', 'Cat', 'Bird', 'Koala'}
 def predict_image(img):
     pred, pred_idx, probs = learn.predict(img)
     probs_float = probs[0].item()
-    if probs_float > 0.5:
+    if probs_float > 0.1:
         return dict(zip(categories, map(float, probs)))
     else:
         return "Not a dog, cat, bird, or koala"