diff --git a/psy_api.py b/psy_api.py
index e22c3bd..c2cce49 100644
--- a/psy_api.py
+++ b/psy_api.py
@@ -131,8 +131,8 @@ async def train_model(request: Request, features_list: List[Features]):
     feature_label_weighted.to_excel(data_path, index=False)
 
     # 添加模型保存路径
-    model_path = os.path.abspath(os.path.join(static_dir, f"train_model_{now}.pth"))
-    config['train_model_path'] = model_path
+    train_model_path = os.path.abspath(os.path.join(static_dir, f"train_model_{now}.pth"))
+    config['train_model_path'] = train_model_path
 
     # 配置日志
     log_path = os.path.abspath(os.path.join(static_dir, f"train_log_{now}.log"))
@@ -171,8 +171,15 @@ async def train_model(request: Request, features_list: List[Features]):
     end_time = time.time()  # 记录结束时间
     log_print("预测耗时: " + str(end_time - start_time) + " 秒")  # 打印执行时间
 
+    static_dir = os.path.abspath(os.path.join(os.path.dirname(__file__), "train_api"))  # 设置模型文件和配置文件的存放目录，和本py同级
+    config_path = os.path.abspath(os.path.join(os.path.dirname(__file__), "config/config.yaml"))
+
     # 替换现有检测模型
     if(config["replace_model"] == True):
+        # 如果模型路径不是绝对路径，则转换为绝对路径
+        if not os.path.isabs(config["model_path"]):
+            abs_model_path = os.path.abspath(os.path.join(os.path.dirname(__file__), config["model_path"]))
+            config["model_path"] = abs_model_path
         shutil.copyfile(config["train_model_path"], config["model_path"])
         log_print(f"Model file has been copied from {config['train_model_path']} to {config['model_path']}")
 
@@ -234,6 +241,11 @@ async def evaluate_model(request: Request, features_list: List[Features]):
     evaluate_result_path = os.path.abspath(os.path.join(static_dir, f"evaluate_result_img_{now}.png"))
     config['evaluate_result_path'] = evaluate_result_path
 
+    # 如果模型路径不是绝对路径，则转换为绝对路径
+    if not os.path.isabs(config["model_path"]):
+        abs_model_path = os.path.abspath(os.path.join(os.path.dirname(__file__), config["model_path"]))
+        config["model_path"] = abs_model_path
+
     # 配置日志
     log_path = os.path.abspath(os.path.join(static_dir, f"evaluate_log_{now}.log"))
     update_log_handler(log_path)
@@ -307,6 +319,11 @@ async def inference_model(request: Request, features_list: List[Features]):
     log_path = os.path.abspath(os.path.join(static_dir, f"inference_log_{now}.log"))
     update_log_handler(log_path)
 
+    # 如果模型路径不是绝对路径，则转换为绝对路径
+    if not os.path.isabs(config["model_path"]):
+        abs_model_path = os.path.abspath(os.path.join(os.path.dirname(__file__), config["model_path"]))
+        config["model_path"] = abs_model_path
+
     # 特征和标签
     X = feature_label_weighted[config['feature_names']].values