use floating point

app.py

@@ -16,9 +16,9 @@ def classify_emotion(text):
     
     # Update the dictionary with the scores returned by the model
     for item in predictions:
-        iscore = int(item["score"])
+        iscore = float(item["score"])
         if iscore < 1.0:
-            iscore = iscore*10
+            iscore = iscore*10.0
             
         emotion_scores[item["label"]] = iscore