Update app.py

app.py

@@ -458,7 +458,7 @@ def analyze_single_message(text, thresholds):
         label for label, score in zip(LABELS, scores)
         if score > adjusted_thresholds[label]
     ]
-
+    tone_tag = get_emotional_tone_tag(emotion_profile, sentiment, threshold_labels, 0)
     motifs = [phrase for _, phrase in matched_phrases]
 
     darvo_score = calculate_darvo_score(
@@ -474,6 +474,11 @@ def analyze_single_message(text, thresholds):
         key=lambda x: x[1],
         reverse=True
     )[:2]
+    # Post-threshold validation: strip recovery if it occurs with undermining sentiment
+    if "recovery" in threshold_labels and tone_tag == "forced accountability flip":
+        threshold_labels.remove("recovery")
+        top_patterns = [p for p in top_patterns if p[0] != "recovery"]
+        print("⚠️ Removing 'recovery' due to undermining sentiment (not genuine repair)")
 
     matched_scores = [
         (label, score, PATTERN_WEIGHTS.get(label, 1.0))
@@ -497,7 +502,7 @@ def analyze_single_message(text, thresholds):
     )
 
     # Tone tag must happen after abuse_score is finalized
-    tone_tag = get_emotional_tone_tag(emotion_profile, sentiment, threshold_labels, abuse_score)
+    tone_tag = get_emotional_tone_tag(emotion_profile, sentiment, threshold_labels, abuse_score
 
     # Debug
     print(f"Emotional Tone Tag: {tone_tag}")