Update app.py

app.py

@@ -219,7 +219,7 @@ def get_emotional_tone_tag(emotions, sentiment, patterns, abuse_score):
     # 5. Emotional Threat
     if (
         (anger + disgust) > 0.5 and
-        any(p in patterns for p in ["control", "threat", "insults", "dismissiveness"]) and
+        any(p in patterns for p in ["control", "insults", "dismissiveness"]) and
         sentiment == "undermining"
     ):
         return "emotional threat"
@@ -350,7 +350,7 @@ def detect_weapon_language(text):
     text_lower = text.lower()
     return any(word in text_lower for word in weapon_keywords)
 def get_risk_stage(patterns, sentiment):
-    if "threat" in patterns or "insults" in patterns:
+    if "insults" in patterns:
         return 2
     elif "recovery phase" in patterns:
         return 3
@@ -394,7 +394,6 @@ def generate_risk_snippet(abuse_score, top_label, escalation_score, stage):
         "gaslighting": "This message could be manipulating someone into questioning their perception or feelings.",
         "dismissiveness": "This message may include belittling, invalidating, or ignoring the other person’s experience.",
         "insults": "Direct insults often appear in escalating abusive dynamics and can erode emotional safety.",
-        "threat": "This message includes threatening language, which is a strong predictor of harm.",
         "blame shifting": "This message may redirect responsibility to avoid accountability, especially during conflict.",
         "guilt tripping": "This message may induce guilt in order to control or manipulate behavior.",
         "recovery phase": "This message may be part of a tension-reset cycle, appearing kind but avoiding change.",
@@ -426,7 +425,6 @@ def generate_risk_snippet(abuse_score, top_label, escalation_score, stage):
         "gaslighting": "This message could be manipulating someone into questioning their perception or feelings.",
         "dismissiveness": "This message may include belittling, invalidating, or ignoring the other person’s experience.",
         "insults": "Direct insults often appear in escalating abusive dynamics and can erode emotional safety.",
-        "threat": "This message includes threatening language, which is a strong predictor of harm.",
         "blame shifting": "This message may redirect responsibility to avoid accountability, especially during conflict.",
         "guilt tripping": "This message may induce guilt in order to control or manipulate behavior.",
         "recovery phase": "This message may be part of a tension-reset cycle, appearing kind but avoiding change.",
@@ -467,7 +465,6 @@ def compute_abuse_score(matched_scores, sentiment):
 
     # Pattern floors
     FLOORS = {
-        "threat": 70,
         "control": 40,
         "gaslighting": 30,
         "insults": 25,
@@ -499,7 +496,7 @@ def analyze_single_message(text, thresholds):
     # Sentiment override if neutral is high while critical thresholds are passed
     if emotion_profile.get("neutral", 0) > 0.85 and any(
         scores[LABELS.index(l)] > thresholds[l]
-        for l in ["control", "threat", "blame shifting"]
+        for l in ["control", "blame shifting"]
     ):
         sentiment = "undermining"
     else:
@@ -558,7 +555,7 @@ def analyze_single_message(text, thresholds):
 
     abuse_score = min(
         abuse_score_raw,
-        100 if "threat" in threshold_labels or "control" in threshold_labels else 95
+        100 if "control" in threshold_labels else 95
     )
 
 # Tag must happen after abuse score is finalized