fixed code

ai-moderation/app/services/text_moderation_service.py

@@ -16,28 +16,21 @@ class TextModerationService:
     self.classifier = classifier
     self.profanity_detector = profanity_detector
 
-
   def moderate(
       self,
       text: str
   ) -> PredictionResult:
 
-
     if text is None or not text.strip():
-
       raise InvalidTextException(
           "Text is empty"
       )
 
-
     detected_words = (
       self.profanity_detector.detect(text)
     )
 
-
     if detected_words:
-
-
       return PredictionResult(
 
           label="PROFANITY",
@@ -54,23 +47,17 @@ class TextModerationService:
 
       )
 
-
-
     prediction = self.classifier.predict(text)
 
-
-
     prediction.approved = (
         prediction.score <
         settings.TEXT_TOXIC_THRESHOLD
     )
 
-
     prediction.reason = (
       "OK"
       if prediction.approved
       else "TOXIC"
     )
 
-
-    return prediction
+    return prediction