normalise

app.py

@@ -65,7 +65,7 @@ def classify_log(text: str) -> Dict[str, Any]:
     problem_scores = normalize_scores(problem_sim)
     sensor_scores = normalize_scores(sensor_sim)
 
-    threshold = 0.6  # similarity threshold
+    threshold = 0.8  # similarity threshold
 
     # Select labels above threshold
     problem_labels = [PROBLEM_LABELS[i] for i, score in enumerate(problem_scores) if score >= threshold]