Update app.py

app.py

@@ -81,20 +81,20 @@ score_lines = [
 ]
 raw_score_output = "\n".join(score_lines)
 
-    # Calculate overall abuse level and interpret it
-    abuse_level = calculate_abuse_level(scores, THRESHOLDS)
-    abuse_description = interpret_abuse_level(abuse_level)
+# Calculate overall abuse level and interpret it
+abuse_level = calculate_abuse_level(scores, THRESHOLDS)
+abuse_description = interpret_abuse_level(abuse_level)
 
     # Resource logic based on the number of danger cues
-    if danger_flag_count >= 2:
-        resources = "Immediate assistance recommended. Please seek professional help or contact emergency services."
-    else:
-        resources = "For more information on abuse patterns, consider reaching out to support groups or professional counselors."
+if danger_flag_count >= 2:
+    resources = "Immediate assistance recommended. Please seek professional help or contact emergency services."
+else:
+    resources = "For more information on abuse patterns, consider reaching out to support groups or professional counselors."
 
-    # Get top 2 highest scoring abuse patterns (excluding 'non_abusive')
-    scored_patterns = [(label, score) for label, score in zip(PATTERN_LABELS, scores[:14])]
-    top_patterns = sorted(scored_patterns, key=lambda x: x[1], reverse=True)[:2]
-    top_patterns_str = "\n".join([f"• {label.replace('_', ' ').title()}" for label, _ in top_patterns])
+ # Get top 2 highest scoring abuse patterns (excluding 'non_abusive')
+scored_patterns = [(label, score) for label, score in zip(PATTERN_LABELS, scores[:14])]
+top_patterns = sorted(scored_patterns, key=lambda x: x[1], reverse=True)[:2]
+top_patterns_str = "\n".join([f"• {label.replace('_', ' ').title()}" for label, _ in top_patterns])
 
 # Format final result
 result = (