Update app.py

app.py

@@ -125,113 +125,112 @@ def get_emotional_tone_tag(emotion_profile, patterns, text_lower):
     if lex_counts["joy"] > 0 and any(k in text_lower for k in ["support","hope","grace"]):
         return "supportive"
 
-+    # 1. Performative Regret
-+    # → only when we see one of those patterns, not just lexicon hits
-+    if sadness > 0.4 \
-+       and any(p in patterns for p in ["blame shifting","guilt tripping","recovery phase"]):
-+        return "performative regret"
+
+    if sadness > 0.4 \
+        and any(p in patterns for p in ["blame shifting","guilt tripping","recovery phase"]):
+        return "performative regret"
 
     # 2. Coercive Warmth
     if (joy > 0.3 or sadness > 0.4) \
-       and (lex_counts["joy"] > 0 or lex_counts["sadness"] > 0) \
-       and any(p in patterns for p in ["control","gaslighting"]):
+        and (lex_counts["joy"] > 0 or lex_counts["sadness"] > 0) \
+        and any(p in patterns for p in ["control","gaslighting"]):
         return "coercive warmth"
 
     # 3. Cold Invalidation
     if (neutral + disgust) > 0.5 \
-       and lex_counts["disgust"] > 0 \
-       and any(p in patterns for p in ["dismissiveness","projection","obscure language"]):
+        and lex_counts["disgust"] > 0 \
+        and any(p in patterns for p in ["dismissiveness","projection","obscure language"]):
         return "cold invalidation"
 
     # 4. Genuine Vulnerability
     if (sadness + fear) > 0.5 \
-       and lex_counts["sadness"] > 0 and lex_counts["fear"] > 0 \
-       and all(p == "recovery phase" for p in patterns):
+        and lex_counts["sadness"] > 0 and lex_counts["fear"] > 0 \
+        and all(p == "recovery phase" for p in patterns):
         return "genuine vulnerability"
 
     # 5. Emotional Threat
     if (anger + disgust) > 0.5 \
-       and (lex_counts["anger"] > 0 or lex_counts["disgust"] > 0) \
-       and any(p in patterns for p in ["control","threat","insults","dismissiveness"]):
+        and (lex_counts["anger"] > 0 or lex_counts["disgust"] > 0) \
+        and any(p in patterns for p in ["control","threat","insults","dismissiveness"]):
         return "emotional threat"
 
     # 6. Weaponized Sadness
     if sadness > 0.6 \
-       and lex_counts["sadness"] > 0 \
-       and any(p in patterns for p in ["guilt tripping","projection"]):
+        and lex_counts["sadness"] > 0 \
+        and any(p in patterns for p in ["guilt tripping","projection"]):
         return "weaponized sadness"
 
     # 7. Toxic Resignation
     if neutral > 0.5 \
-       and any(p in patterns for p in ["dismissiveness","obscure language"]) \
-       and lex_counts["disgust"] == 0:
+        and any(p in patterns for p in ["dismissiveness","obscure language"]) \
+        and lex_counts["disgust"] == 0:
         return "toxic resignation"
 
     # 8. Indignant Reproach
     if anger > 0.5 \
-       and lex_counts["anger"] > 0 \
-       and any(p in patterns for p in ["guilt tripping","contradictory statements"]):
+        and lex_counts["anger"] > 0 \
+        and any(p in patterns for p in ["guilt tripping","contradictory statements"]):
         return "indignant reproach"
 
     # 9. Confrontational
     if anger > 0.6 \
-       and lex_counts["anger"] > 0 \
-       and patterns:
+        and lex_counts["anger"] > 0 \
+        and patterns:
         return "confrontational"
 
     # 10. Passive Aggression
     if neutral > 0.6 \
-       and lex_counts["disgust"] > 0 \
-       and any(p in patterns for p in ["dismissiveness","projection"]):
+        and lex_counts["disgust"] > 0 \
+        and any(p in patterns for p in ["dismissiveness","projection"]):
         return "passive aggression"
 
     # 11. Sarcastic Mockery
     if joy > 0.3 \
-       and lex_counts["joy"] > 0 \
-       and "insults" in patterns:
+        and lex_counts["joy"] > 0 \
+        and "insults" in patterns:
         return "sarcastic mockery"
 
     # 12. Menacing Threat
     if fear > 0.3 \
-       and lex_counts["fear"] > 0 \
-       and "threat" in patterns:
+        and lex_counts["fear"] > 0 \
+        and "threat" in patterns:
         return "menacing threat"
 
     # 13. Pleading Concern
     if sadness > 0.3 \
-       and lex_counts["sadness"] > 0 \
-       and any(k in text_lower for k in APOLOGY_KEYWORDS) \
-       and not patterns:
+        and lex_counts["sadness"] > 0 \
+        and any(k in text_lower for k in APOLOGY_KEYWORDS) \
+        and not patterns:
         return "pleading concern"
 
     # 14. Fear-mongering
     if (fear + disgust) > 0.5 \
-       and lex_counts["fear"] > 0 \
-       and "projection" in patterns:
+        and lex_counts["fear"] > 0 \
+        and "projection" in patterns:
         return "fear-mongering"
 
     # 15. Disbelieving Accusation
     if surprise > 0.3 \
-       and lex_counts["surprise"] > 0 \
-       and "blame shifting" in patterns:
+        and lex_counts["surprise"] > 0 \
+        and "blame shifting" in patterns:
         return "disbelieving accusation"
 
     # 16. Empathetic Solidarity
     if joy > 0.2 and sadness > 0.2 \
-       and lex_counts["joy"] > 0 and lex_counts["sadness"] > 0 \
-       and not patterns:
+        and lex_counts["joy"] > 0 and lex_counts["sadness"] > 0 \
+        and not patterns:
         return "empathetic solidarity"
 
     # 17. Assertive Boundary
     if anger > 0.4 \
-       and lex_counts["anger"] > 0 \
-       and "control" in patterns:
+        and lex_counts["anger"] > 0 \
+        and "control" in patterns:
         return "assertive boundary"
 
     # 18. Stonewalling
     if neutral > 0.7 \
-       and lex_counts["disgust"] == 0 \
-       and not patterns:
+        and lex_counts["disgust"] == 0 \
+        and not patterns:
         return "stonewalling"
 
     return None