Update app.py

app.py

@@ -75,38 +75,40 @@ def analyze_messages(input_text):
     # Count the number of triggered abuse pattern and danger flags based on thresholds
     pattern_count = sum(score > THRESHOLDS[label] for label, score in zip(PATTERN_LABELS, scores[:14]))
     danger_flag_count = sum(score > THRESHOLDS[label] for label, score in zip(DANGER_LABELS, scores[14:17]))
+
     # Build formatted raw score display
-score_lines = [
-    f"{label:25}: {score:.3f}" for label, score in zip(PATTERN_LABELS + DANGER_LABELS, scores)
-]
-raw_score_output = "\n".join(score_lines)
+    score_lines = [
+        f"{label:25}: {score:.3f}" for label, score in zip(PATTERN_LABELS + DANGER_LABELS, scores)
+    ]
+    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."
-
- # 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 = (
-    f"Abuse Risk Score: {abuse_level}% – {abuse_description}\n"
-    "This message contains signs of emotionally harmful communication that may indicate abusive patterns.\n\n"
-    f"Most Likely Patterns:\n{top_patterns_str}\n\n"
-    f"⚠️ Critical Danger Flags Detected: {danger_flag_count} of 3\n"
-    "The Danger Assessment is a validated tool that helps identify serious risk in intimate partner violence. "
-    "It flags communication patterns associated with increased risk of severe harm. "
-    "For more info, consider reaching out to support groups or professionals.\n\n"
-    f"Resources: {resources}"
-)
+    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])
+
+    # Format final result
+    result = (
+        f"Abuse Risk Score: {abuse_level}% – {abuse_description}\n"
+        "This message contains signs of emotionally harmful communication that may indicate abusive patterns.\n\n"
+        f"Most Likely Patterns:\n{top_patterns_str}\n\n"
+        f"⚠️ Critical Danger Flags Detected: {danger_flag_count} of 3\n"
+        "The Danger Assessment is a validated tool that helps identify serious risk in intimate partner violence. "
+        "It flags communication patterns associated with increased risk of severe harm. "
+        "For more info, consider reaching out to support groups or professionals.\n\n"
+        f"Resources: {resources}"
+    )
+
     # Return both a text summary and a JSON-like dict of scores per label
     return result