math fun

app.py

@@ -17,9 +17,11 @@ def classify_emotion(text):
     # Update the dictionary with the scores returned by the model
     for item in predictions:
         iscore = float(item["score"])
+        print(f"iscore is {iscore}")
         if iscore < 1.0:
             iscore = iscore*10.0
-            
+
+        print(f"iscore for {item["label"]} is now {iscore}")
         emotion_scores[item["label"]] = iscore
     
     return emotion_scores