push emotion analysis reducing by 100

app.py

@@ -373,7 +373,7 @@ personality_values =None
 def greet(tweet):
     print("start")
     prediction,preemotion_list,personality_list = load_model(tweet)
-    preemotion_list = [x * 100 for x in preemotion_list]
+    # preemotion_list = [x * 100 for x in preemotion_list]
     simple = pd.DataFrame(
     {
         "Emotions": ["Anger", "Anticipation", "Disgust", "Fear", "Joy", "Love", "Optimism", "Pessimism", "Sadness","Surprise","Trust"],