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

backend/app/model_load.py

@@ -29,6 +29,12 @@ def use_model(url : str):
     input_data = featured_df[features_cols]
 
     # 학습된 모델에 적용
-    model_pred = round(float(np.mean([model.predict_proba(input_data)[:, 1] for model in models_load])), 4)
+    model_pred = round(np.mean([model.predict_proba(input_data)[:, 1] for model in models_load]), 4)
 
-    return model_pred
+    #return model_pred
+    return {
+        "url" : url,
+        "malicious_probability" : float(model_pred),
+        "is_malicious" : bool(model_pred > best_threshold),
+        "threshold" : float(best_threshold)
+    }