Update app.py

app.py

@@ -73,7 +73,7 @@ LABELS = [
 ]
 
 THRESHOLDS = {
-    "blame shifting": 0.20, "contradictory statements": 0.30, "control": 0.04, "dismissiveness": 0.09,
+    "blame shifting": 0.30, "contradictory statements": 0.30, "control": 0.04, "dismissiveness": 0.09,
     "gaslighting": 0.11, "guilt tripping": 0.16, "insults": 0.14, "obscure language": 0.55,
     "projection": 0.11, "recovery phase": 0.24, "threat": 0.09
 }
@@ -345,7 +345,15 @@ def analyze_single_message(text, thresholds):
     # Derive sentiment from emotion intensity
     emotion_profile = get_emotion_profile(text)
     sentiment_score = emotion_profile.get("anger", 0) + emotion_profile.get("disgust", 0)
-    sentiment = "undermining" if sentiment_score > 0.4 else "supportive"
+
+# Override if neutral tone masks abusive content
+    if emotion_profile.get("neutral", 0) > 0.85 and any(
+        scores[label] > THRESHOLDS[label]
+        for label in ["control", "threat", "blame shifting"]
+):
+    sentiment = "undermining"
+    else:
+        sentiment = "undermining" if sentiment_score > 0.25 else "supportive"
 
     weapon_flag = detect_weapon_language(text)