Update app.py

app.py

@@ -244,9 +244,10 @@ def analyze_single_message(text, thresholds):
     return abuse_score, threshold_labels, top_patterns, result, stage, darvo_score
 
 def analyze_composite(msg1, msg2, msg3, *answers_and_none):
-    responses = answers_and_none[:len(ESCALATION_QUESTIONS)]
-    none_selected = bool(answers_and_none[-1])
-
+    none_selected_checked = answers_and_none[-1]
+    responses_checked = any(answers_and_none[:-1])
+    none_selected = not responses_checked and none_selected_checked
+    
     messages = [msg1, msg2, msg3]
     active = [m for m in messages if m.strip()]
     if not active:
@@ -273,15 +274,11 @@ def analyze_composite(msg1, msg2, msg3, *answers_and_none):
         darvo_blurb = f"\n\n🎭 **DARVO Score: {avg_darvo}** → This indicates a **{level} likelihood** of narrative reversal (DARVO), where the speaker may be denying, attacking, or reversing blame."
 
     if none_selected:
-        escalation_score = 0
-        escalation_potential = "Unknown (Checklist not completed)"
-        escalation_note = "🔍 *This section was not completed. Escalation potential is unknown.*"
+        out += "Escalation Potential: Unknown (Checklist not completed)\n"
+        out += "🔍 *This section was not completed. Escalation potential is unknown.*\n\n"
     else:
-        escalation_score = sum(w for (_, w), a in zip(ESCALATION_QUESTIONS, responses) if a)
-        escalation_total = sum(w for _, w in ESCALATION_QUESTIONS)
-        level = "High" if escalation_score >= 16 else "Moderate" if escalation_score >= 8 else "Low"
-        escalation_potential = f"{level} ({escalation_score}/{escalation_total})"
-        escalation_note = "🚨 This indicates how many serious risk factors are present based on your answers to the safety checklist."
+        out += f"Escalation Potential: {('High' if escalation_score >= 16 else 'Moderate' if escalation_score >= 8 else 'Low')} ({escalation_score}/{sum(w for _, w in ESCALATION_QUESTIONS)})\n"
+        out += "🚨 This indicates how many serious risk factors are present based on your answers to the safety checklist.\n\n"
 
     out = f"Abuse Intensity: {composite_abuse}%\n"
     out += "📊 This reflects the strength and severity of detected abuse patterns in the message(s).\n\n"