Update app.py

app.py

@@ -499,7 +499,7 @@ def analyze_single_message(text, thresholds):
     print(f"Contradiction: {contradiction_flag}")
     print("------------------\n")
 
-    return abuse_score, threshold_labels, top_patterns, {"label": sentiment}, stage, darvo_score
+    return abuse_score, threshold_labels, top_patterns, {"label": sentiment}, stage, darvo_score, tone_tag
 
 def analyze_composite(msg1, date1, msg2, date2, msg3, date3, *answers_and_none):
     none_selected_checked = answers_and_none[-1]
@@ -593,6 +593,10 @@ def analyze_composite(msg1, date1, msg2, date2, msg3, date3, *answers_and_none):
     out += generate_risk_snippet(composite_abuse, top_label, escalation_score if escalation_score is not None else 0, most_common_stage)
     out += f"\n\n{stage_text}"
     out += darvo_blurb
+    out += "\n\n🎭 **Emotional Tones Detected:**\n"
+    for i, tone in enumerate(tone_tags):
+        label = tone if tone else "none"
+        out += f"• Message {i+1}: *{label}*\n"
     print(f"DEBUG: avg_darvo = {avg_darvo}")
     pattern_labels = [r[0][2][0][0] for r in results]  # top label for each message
     timeline_image = generate_abuse_score_chart(dates_used, abuse_scores, pattern_labels)