Update app.py

app.py

@@ -686,7 +686,17 @@ def analyze_composite(msg1, msg2, msg3, *answers_and_none):
     most_common_stage = max(set(stages), key=stages.count)
     stage_text = RISK_STAGE_LABELS[most_common_stage]
     # Derive top label list for each message
-    top_labels = [r[0][1][0] if r[0][1] else r[0][2][0][0] for r in results]
+    # safe derive top_labels
+    top_labels = []
+    for result, _ in results:
+        threshold_labels = result[1]
+        top_patterns     = result[2]
+        if threshold_labels:
+            top_labels.append(threshold_labels[0])
+        elif top_patterns:
+            top_labels.append(top_patterns[0][0])
+        else:
+            top_labels.append("none")   # or whatever default you prefer
     avg_darvo = round(sum(darvo_scores) / len(darvo_scores), 3)
     darvo_blurb = ""
     if avg_darvo > 0.25: