Update app.py

app.py

@@ -265,8 +265,19 @@ def analyze_single_message(text, thresholds):
         weighted_total += score * weight
         weight_sum += weight
 
-    abuse_score_raw = (weighted_total / weight_sum) * 100
-    stage = get_risk_stage(threshold_labels, sentiment)
+    matched_scores = [
+    (label, score, PATTERN_WEIGHTS.get(label, 1.0))
+    for label, score in zip(LABELS, scores)
+    if score > adjusted_thresholds[label]
+]
+
+    if matched_scores:
+        weighted_total = sum(score * weight for _, score, weight in matched_scores)
+        weight_sum = sum(weight for _, _, weight in matched_scores)
+        abuse_score_raw = (weighted_total / weight_sum) * 100
+    else:
+        abuse_score_raw = 0
+        stage = get_risk_stage(threshold_labels, sentiment)
     if weapon_flag:
         abuse_score_raw = min(abuse_score_raw + 25, 100)  # boost intensity
     if weapon_flag and stage < 2:
@@ -318,7 +329,7 @@ def analyze_composite(msg1, date1, msg2, date2, msg3, date3, *answers_and_none):
 
     results = [(analyze_single_message(m, THRESHOLDS.copy()), d) for m, d in active]
     abuse_scores = [r[0][0] for r in results]
-    top_labels = [r[0][2][0][0] for r in results]
+    top_labels = [r[0][1][0] if r[0][1] else r[0][2][0][0] for r in results]
     top_scores = [r[0][2][0][1] for r in results]
     sentiments = [r[0][3]['label'] for r in results]
     stages = [r[0][4] for r in results]