Update app.py

app.py

@@ -138,11 +138,71 @@ DARVO_MOTIFS = [
     "You’re the one who’s always making me feel like I’m the one who’s abusive.",
     "You’re the one who’s always making me feel like I’m the one who’s toxic."
 ]
-def get_emotion_profile(text):
-    emotions = emotion_pipeline(text)
-    if isinstance(emotions, list) and isinstance(emotions[0], list):
-        emotions = emotions[0]  # unwrap nested list
-    return {e['label'].lower(): round(e['score'], 3) for e in emotions}
+def get_emotional_tone_tag(emotions, sentiment, patterns, abuse_score):
+    sadness = emotions.get("sadness", 0)
+    joy = emotions.get("joy", 0)
+    neutral = emotions.get("neutral", 0)
+    disgust = emotions.get("disgust", 0)
+    anger = emotions.get("anger", 0)
+    fear = emotions.get("fear", 0)
+
+    # 1. Performative Regret
+    if (
+        sadness > 0.4 and
+        any(p in patterns for p in ["blame shifting", "guilt tripping", "recovery phase"]) and
+        (sentiment == "undermining" or abuse_score > 40)
+    ):
+        return "performative regret"
+
+    # 2. Coercive Warmth
+    if (
+        (joy > 0.3 or sadness > 0.4) and
+        any(p in patterns for p in ["control", "gaslighting"]) and
+        sentiment == "undermining"
+    ):
+        return "coercive warmth"
+
+    # 3. Cold Invalidation
+    if (
+        (neutral + disgust) > 0.5 and
+        any(p in patterns for p in ["dismissiveness", "projection", "obscure language"]) and
+        sentiment == "undermining"
+    ):
+        return "cold invalidation"
+
+    # 4. Genuine Vulnerability
+    if (
+        (sadness + fear) > 0.5 and
+        sentiment == "supportive" and
+        all(p in ["recovery phase"] for p in patterns)
+    ):
+        return "genuine vulnerability"
+
+    # 5. Emotional Threat
+    if (
+        (anger + disgust) > 0.5 and
+        any(p in patterns for p in ["control", "threat", "insults", "dismissiveness"]) and
+        sentiment == "undermining"
+    ):
+        return "emotional threat"
+
+    # 6. Weaponized Sadness
+    if (
+        sadness > 0.6 and
+        any(p in patterns for p in ["guilt tripping", "projection"]) and
+        sentiment == "undermining"
+    ):
+        return "weaponized sadness"
+
+    # 7. Toxic Resignation
+    if (
+        neutral > 0.5 and
+        any(p in patterns for p in ["dismissiveness", "obscure language"]) and
+        sentiment == "undermining"
+    ):
+        return "toxic resignation"
+
+    return None
 def detect_contradiction(message):
     patterns = [
         (r"\b(i love you).{0,15}(i hate you|you ruin everything)", re.IGNORECASE),
@@ -280,7 +340,8 @@ def analyze_single_message(text, thresholds):
     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"
-
+    tone_tag = get_emotional_tone_tag(emotion_profile, sentiment, threshold_labels, abuse_score)
+    print(f"Emotional Tone Tag: {tone_tag}")
     weapon_flag = detect_weapon_language(text)
 
     adjusted_thresholds = {