diff --git a/.gitignore b/.gitignore
index d85108e..0b65044 100644
--- a/.gitignore
+++ b/.gitignore
@@ -4,4 +4,5 @@
 !/proj_deepface/
 !/.gitignore
 !/readme.md
-!/componentdevelopment/
\ No newline at end of file
+!/componentdevelopment/
+!/FaceRegWeb/
\ No newline at end of file
diff --git a/FaceRegWeb/checkpoints/fsanet-var.zip b/FaceRegWeb/checkpoints/fsanet-var.zip
deleted file mode 100644
index 3506bbe..0000000
Binary files a/FaceRegWeb/checkpoints/fsanet-var.zip and /dev/null differ
diff --git a/proj_deepface/webmain.py b/proj_deepface/webmain.py
index 5917f45..93acc04 100644
--- a/proj_deepface/webmain.py
+++ b/proj_deepface/webmain.py
@@ -80,7 +80,7 @@ GLOBAL_DICT = {
 class FaceHelper:
 
     def __init__(self, db_path: str, detector_backend: str, distance_metric: str, model_name: str):
-        self.db_path = "C:/Users/JIALE/Desktop/bns_proj/proj_deepface/face"
+        self.db_path = db_path
         self.detector_backend = detector_backend
         self.distance_metric = distance_metric
         self.model_name = model_name
@@ -93,7 +93,7 @@ class FaceHelper:
             "aligned", 
             "normalization_base",
             "expand_0"]
-        self.pkl_name = "_".join(file_parts)+".pkl".replace("-", "").lower()
+        self.pkl_name = ("_".join(file_parts)+".pkl").replace("-", "").lower()
         self.dirty = True 
         self.db_representations = None
         self.keepDBLive()
@@ -111,7 +111,7 @@ class FaceHelper:
                         detected_face 
                         descriptions 
         """
-        logger.debug("Detecting faces using backend: %s", self.detector_backend)  # @@@@
+        logger.info("Detecting faces using backend: %s", self.detector_backend)  # @@@@
         try:
             face_objs = detection.extract_faces(
                 img_path = img,
@@ -364,7 +364,7 @@ class item(BaseModel):
     img: str
     img_name: str 
 
-default_db_path = "C:/Users/JIALE/Desktop/bns_proj/proj_deepface/face"
+default_db_path = "./face"
 default_detector_backend = "retinaface"
 default_distance_metric = "euclidean_l2"
 default_model_name = "GhostFaceNet"