Update app.py

app.py

@@ -148,7 +148,17 @@ def analyze_single_message(text, thresholds, motif_flags):
 
     pattern_labels = threshold_labels + [label for label, _ in matched_phrases]
     darvo_score = calculate_darvo_score(pattern_labels, 0.0, sentiment_score, motifs, contradiction_flag)
-
+    
+    print("\n--- Debug Info ---")
+    print(f"Text: {text}")
+    print(f"Sentiment: {sentiment} (raw: {result['label']}, score: {result['score']:.3f})")
+    print("Abuse Pattern Scores:")
+    for label, score in zip(LABELS, scores):
+        passed = "✅" if score > adjusted_thresholds[label] else "❌"
+        print(f"  {label:25} → {score:.3f} {passed}")
+    print(f"Motifs: {motifs}")
+    print(f"Contradiction: {contradiction_flag}")
+    print("------------------\n")
     return (
         np.mean([score for _, score in top_patterns]) * 100,
         threshold_labels,