Update app.py

app.py

@@ -93,19 +93,24 @@ def analyze_composite(msg1, msg2, msg3, flags):
     if not active_messages:
         return "Please enter at least one message."
 
-    flag_multiplier = 1 + (0.1 * len(flags))  # each checked flag increases weight by 10%
     results = [analyze_single_message(m, thresholds, flags) for m in active_messages]
     abuse_scores = [r[0] for r in results]
+
     base_score = sum(abuse_scores) / len(abuse_scores)
-    danger_weight = 5  # or experiment with this
+    danger_weight = 5  # you can tweak this multiplier
     adjusted_score = min(base_score + len(flags) * danger_weight, 100)
     composite_score = round(adjusted_score, 2)
 
+    label_sets = [label for result in results for label in set(result[1])]
+    label_counts = {label: label_sets.count(label) for label in set(label_sets)}
+    top_labels = sorted(label_counts.items(), key=lambda x: x[1], reverse=True)[:2]
+    top_explanations = [EXPLANATIONS.get(label, "") for label, _ in top_labels]
 
     result = f"These messages show patterns of {', '.join(label for label, _ in top_labels)} and are estimated to be {composite_score}% likely abusive."
     for expl in top_explanations:
         if expl:
             result += f"\n• {expl}"
+
     return result
 
 textbox_inputs = [