Update app.py

app.py

@@ -129,21 +129,27 @@ def analyze_messages(input_text, risk_flags):
     ])
 
     result = (
-        f"Abuse Risk Score: {abuse_level}% – {abuse_description}\n\n"
-        f"Most Likely Patterns:\n{top_pattern_explanations}\n\n"
-        f"⚠️ Critical Danger Flags Detected: {danger_flag_count} of 3\n"
-        "Resources: " + resources + "\n\n"
-        f"Sentiment: {sentiment_label.title()} (Confidence: {sentiment_score*100:.2f}%)"
-    )
+    f"Abuse Risk Score: {abuse_level}% – {abuse_description}\n\n"
+    f"Most Likely Patterns:\n{top_pattern_explanations}\n\n"
+    f"⚠️ Critical Danger Flags Detected: {danger_flag_count} of 3\n"
+    "Resources: " + resources + "\n\n"
+    f"Sentiment: {sentiment_label.title()} (Confidence: {sentiment_score*100:.2f}%)"
+)
+
+# THEN immediately follow with this:
+    if motif_flags:
+        result += "\n\n🧠 Motif Tags:\n" + "\n".join([f"• {flag}" for flag in motif_flags])
 
     if contextual_flags:
         result += "\n\n⚠️ You indicated the following:\n" + "\n".join([f"• {flag}" for flag in contextual_flags])
+
     if high_risk_context:
         result += "\n\n🚨 These responses suggest a high-risk situation. Consider seeking immediate help or safety planning resources."
-        if matched_phrases:
-            result += "\n\n🧠 Detected High-Risk Language:\n"
-        for label, pattern in matched_phrases:
-            result += f"• {label.replace('_', ' ').title()} phrase matched\n"
+
+    if matched_phrases:
+        result += "\n\n🚨 Detected High-Risk Phrases:\n"
+    for label, phrase in matched_phrases:
+        result += f"• {label.replace('_', ' ').title()}: \"{phrase}\"\n"
     return result
 
 iface = gr.Interface(