Update app.py

app.py

@@ -35,15 +35,15 @@ def user_interaction(comment, model):
     compound_score = analyzer.polarity_scores(comment)["compound"]
     rate_pred = model.predict([[negative_score, neutral_score, positive_score, compound_score]])
     
-    return f"\nYour Comment: {comment}\n" + 
-           "*"*10 + "Analysis of the Comment" + "*"*10 + 
-           "-"*10 + f"Negativity Score: {negative_score:.2f}" + "-"*10 +
-           "-"*10 + f"Neutrality Score: {neutral_score:.2f}" + "-"*10 +
-           "-"*10 + f"Positivity Score: {positive_score:.2f}" + "-"*10 +
-           "-"*10 + f"Compound Score: {compound_score:.2f}" + "-"*10 +
-           "*"*43, 
-           "\nThe estimated rating this comment can give" + 
-           "*"*20 + str(round(rate_pred[0], 2)) + "*"*20
+    return (f"\nYour Comment: {comment}\n" + 
+           "*"*10 + "Analysis of the Comment" + "*"*10 + "\n" +
+           "-"*10 + f"Negativity Score: {negative_score:.2f}" + "-"*10 + "\n" +
+           "-"*10 + f"Neutrality Score: {neutral_score:.2f}" + "-"*10 + "\n" +
+           "-"*10 + f"Positivity Score: {positive_score:.2f}" + "-"*10 + "\n" +
+           "-"*10 + f"Compound Score: {compound_score:.2f}" + "-"*10 + "\n" +
+           "*"*43 + "\n"), 
+           ("\nThe estimated rating this comment can give" + "\n" + 
+           "*"*20 + str(round(rate_pred[0], 2)) + "*"*20 + "\n")
 
 
 def take_input(model):