Update app.py

app.py

@@ -243,7 +243,7 @@ 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):
+ddef analyze_composite(msg1, msg2, msg3, *answers_and_none):
     none_selected_checked = answers_and_none[-1]
     responses_checked = any(answers_and_none[:-1])
     none_selected = not responses_checked and none_selected_checked
@@ -280,9 +280,9 @@ def analyze_composite(msg1, msg2, msg3, *answers_and_none):
     out += "📊 This reflects the strength and severity of detected abuse patterns in the message(s).\n\n"
 
     if escalation_score is None:
+        risk_level = "unknown"
         out += "Escalation Potential: Unknown (Checklist not completed)\n"
         out += "🔍 *This section was not completed. Escalation potential is unknown.*\n\n"
-        escalation_score = 0  # fallback to allow generate_risk_snippet to still work
     else:
         risk_level = (
             "High" if escalation_score >= 16 else
@@ -292,7 +292,7 @@ def analyze_composite(msg1, msg2, msg3, *answers_and_none):
         out += f"Escalation Potential: {risk_level} ({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 += generate_risk_snippet(composite_abuse, top_label, escalation_score, most_common_stage)
+    out += generate_risk_snippet(composite_abuse, top_label, escalation_score or 0, most_common_stage)
     out += f"\n\n{stage_text}"
     out += darvo_blurb