diff --git a/classifier/embedding_food_classifier_app.py b/classifier/embedding_food_classifier_app.py
index 81a8fad..af7e8eb 100644
--- a/classifier/embedding_food_classifier_app.py
+++ b/classifier/embedding_food_classifier_app.py
@@ -61,10 +61,14 @@ class EmbeddingFoodClassifierApp:
         """加载训练好的embedding模型和FAISS索引"""
         try:
             # 模型路径
-            model_path = "../model/embedding_20251010_111257/best_embedding_model.pth"
+            # 获取当前脚本所在目录
+            BASE_DIR = os.path.dirname(os.path.abspath(__file__))
+            # model_path = "../model/embedding_20251011_133653/best_embedding_model.pth"
+            model_path = os.path.join(BASE_DIR, "../model/embedding_20251011_133653/best_embedding_model.pth")
             
             # FAISS索引目录
-            index_dir = "../faiss_vector_db/faiss_index"
+            # index_dir = "../faiss_vector_db/faiss_index"
+            index_dir = os.path.join(BASE_DIR, "../faiss_vector_db/faiss_index")
             
             if os.path.exists(model_path) and os.path.exists(index_dir):
                 # 1. 加载embedding模型
diff --git a/classifier/embedding_food_classifier_search_app.py b/classifier/embedding_food_classifier_search_app.py
index 82c764f..6239ed2 100644
--- a/classifier/embedding_food_classifier_search_app.py
+++ b/classifier/embedding_food_classifier_search_app.py
@@ -62,10 +62,13 @@ class EmbeddingFoodClassifierApp:
         """加载训练好的embedding模型和FAISS索引"""
         try:
             # 模型路径
-            model_path = "../model/embedding_20251010_111257/best_embedding_model.pth"
-            
+            # 获取当前脚本所在目录
+            BASE_DIR = os.path.dirname(os.path.abspath(__file__))
+            # model_path = "../model/embedding_20251011_133653/best_embedding_model.pth"
+            model_path = os.path.join(BASE_DIR, "../model/embedding_20251011_133653/best_embedding_model.pth")
             # FAISS索引目录
-            index_dir = "../faiss_vector_db/faiss_index"
+            # index_dir = "../faiss_vector_db/faiss_index"
+            index_dir = os.path.join(BASE_DIR, "../faiss_vector_db/faiss_index")
             
             if os.path.exists(model_path) and os.path.exists(index_dir):
                 # 1. 加载embedding模型
diff --git a/data_expansion/data_expansion.py b/data_expansion/data_expansion.py
index 03e879e..6f578dc 100644
--- a/data_expansion/data_expansion.py
+++ b/data_expansion/data_expansion.py
@@ -27,7 +27,7 @@ for class_name in os.listdir(input_root):
     input_dir = os.path.join(input_root, class_name)
     output_dir = os.path.join(output_root, class_name)
     os.makedirs(output_dir, exist_ok=True)
-    if class_name == "手撕包菜":
+    if class_name == "红烧肉":
         # 读取类别下所有图片路径
         img_files = [f for f in os.listdir(input_dir) if f.lower().endswith(('.jpg', '.png', '.jpeg'))]
         img_paths = [os.path.join(input_dir, f) for f in img_files]
diff --git a/faiss_vector_db/build_faiss_index.py b/faiss_vector_db/build_faiss_index.py
index 7335be1..291ba02 100644
--- a/faiss_vector_db/build_faiss_index.py
+++ b/faiss_vector_db/build_faiss_index.py
@@ -477,7 +477,7 @@ class FAISSSearcher:
 def main():
     """主函数"""
     # 配置参数
-    MODEL_PATH = "../model/embedding_20251010_111257/best_embedding_model.pth"
+    MODEL_PATH = "../model/embedding_20251011_133653/best_embedding_model.pth"
     TRAIN_DIR = "../dataset/train"
     OUTPUT_DIR = "faiss_index"
     BATCH_SIZE = 16