Update app.py

app.py

@@ -173,17 +173,17 @@ def analyze_messages(input_text, risk_flags):
     result += f"🧠 Sentiment: {sentiment_label.title()} (Confidence: {sentiment_score*100:.2f}%)\n"
 
 # Always include these if available:
-if contextual_flags:
-    result += "\n\n⚠️ You indicated the following:\n" + "\n".join([f"• {flag.replace('_', ' ').title()}" for flag in contextual_flags])
+    if contextual_flags:
+        result += "\n\n⚠️ You indicated the following:\n" + "\n".join([f"• {flag.replace('_', ' ').title()}" 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 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 Phrases:\n"
-    for label, phrase in matched_phrases:
-        phrase_clean = phrase.replace('"', "'").strip()
-        result += f"• {label.replace('_', ' ').title()}: “{phrase_clean}”\n"
+    if matched_phrases:
+        result += "\n\n🚨 Detected High-Risk Phrases:\n"
+            for label, phrase in matched_phrases:
+            phrase_clean = phrase.replace('"', "'").strip()
+            result += f"• {label.replace('_', ' ').title()}: “{phrase_clean}”\n"
 
 # Always show abuse type if available