Update app.py

app.py

@@ -475,14 +475,7 @@ THREAT_MOTIFS = [
     "you’re making me hurt you", "i warned you", "you should have listened"
 ]
 
-# Flag any threat phrases present in the messages
-def detect_threat_motifs(text, motifs):
-    return [m for m in motifs if m in text.lower()]
 
-# Collect matches per message
-immediate_threats = [detect_threat_motifs(m, THREAT_MOTIFS) for m, _ in active]
-flat_threats = [t for sublist in immediate_threats for t in sublist]
-threat_risk = "Yes" if flat_threats else "No"
 def compute_abuse_score(matched_scores, sentiment):
     if not matched_scores:
         return 0
@@ -650,7 +643,14 @@ def analyze_composite(msg1, date1, msg2, date2, msg3, date3, *answers_and_none):
     active = [(m, d) for m, d in zip(messages, dates) if m.strip()]
     if not active:
         return "Please enter at least one message."
+    # Flag any threat phrases present in the messages
+    def detect_threat_motifs(text, motifs):
+        return [m for m in motifs if m in text.lower()]
 
+# Collect matches per message
+    immediate_threats = [detect_threat_motifs(m, THREAT_MOTIFS) for m, _ in active]
+    flat_threats = [t for sublist in immediate_threats for t in sublist]
+    threat_risk = "Yes" if flat_threats else "No"
     results = [(analyze_single_message(m, THRESHOLDS.copy()), d) for m, d in active]
 
     abuse_scores = [r[0][0] for r in results]