Update app.py

app.py

@@ -140,7 +140,15 @@ def analyze_messages(input_text, risk_flags):
 
     if non_abusive_confident and danger_flag_count == 0 and not matched_phrases:
         return "This message is classified as non-abusive."
-
+    # Supportive override logic
+    if (
+        sentiment_label == "supportive"
+        and sentiment_score > 0.95
+        and non_abusive_confident
+        and danger_flag_count == 0
+        and not matched_phrases
+    ):
+    return "This message is classified as non-abusive. It appears emotionally supportive and safe."
     scored_patterns = [
         (label, score) for label, score in zip(PATTERN_LABELS, scores[:15]) if label != "non_abusive"
     ]