backend-junPreP Update(Update whitelist model), front-urlpredictor.jsx UI Update

backend/app/predictor.py

@@ -44,7 +44,7 @@ def predict_url(url: str) -> dict:
         input_data = preprocessed[features_cols]
         
         # ✅ 전처리된 데이터 확인
-        print("Preprocessed input:", input_data)
+        #print("Preprocessed input:", input_data)
 
         # 평균 확률 계산
         probs = [float(model.predict_proba(input_data)[0, 1]) for model in models_load]
@@ -61,8 +61,8 @@ def predict_url(url: str) -> dict:
         # 예: malicious_probability가 np.float32 타입일 경우
         return {
             "url": url,
-            "malicious_probability": mean_pred,  # ⬅️ numpy -> float
-            "is_malicious": bool(is_malicious),         # ⬅️ numpy -> bool
+            "malicious_probability": mean_pred,  
+            "is_malicious": is_malicious,         
             "threshold": float(BEST_THRESHOLD)          # ⬅️ numpy -> float
         }