Add normal text bypass for generation - skip LLM when text is classified as normal

app.py

@@ -166,8 +166,21 @@ class HateSpeechDetectorService:
         if len(text.strip()) < 2:
             return "Input text is too short. Please enter at least 2 characters.", ""
         
+        # Always perform detection first
+        result_msg, mitigation, debug_info = self._detection_only(text)
+        label = debug_info.get('label', 'normal')
+        
+        # If normal, bypass generation for all strategies except "Detection Only"
+        if label == "normal" and strategy != "Detection Only":
+            result_msg += f"\n\n✅ **Normal Text Detected**\n"
+            result_msg += f"This text is classified as normal and does not require mitigation.\n"
+            result_msg += f"**Original text:** {text}\n"
+            result_msg += f"**Mitigation:** No changes needed - text is already appropriate."
+            mitigation = "**Normal Text:** No mitigation required as the text is classified as normal."
+            return result_msg, mitigation
+        
+        # For non-normal texts, proceed with the selected strategy
         if strategy == "Detection Only":
-            result_msg, mitigation, debug_info = self._detection_only(text)
             return result_msg, mitigation
         elif strategy == "Guided":
             return self._guided_mitigation(text)