diff --git a/scripts/tagger.py b/scripts/tagger.py
index bc6657d..d10ff11 100644
--- a/scripts/tagger.py
+++ b/scripts/tagger.py
@@ -3,7 +3,6 @@
 from modules import script_callbacks
 from tagger.api import on_app_started
 from tagger.ui import on_ui_tabs
-from tagger.settings import on_ui_settings
 
 
 # if you do not initialize the Image object
@@ -16,5 +15,4 @@
 
 
 script_callbacks.on_app_started(on_app_started)
-script_callbacks.on_ui_tabs(on_ui_tabs)
-script_callbacks.on_ui_settings(on_ui_settings)
+script_callbacks.on_ui_tabs(on_ui_tabs)
\ No newline at end of file
diff --git a/tagger/Generator/TFDataReader.py b/scripts/tagger/Generator/TFDataReader.py
similarity index 100%
rename from tagger/Generator/TFDataReader.py
rename to scripts/tagger/Generator/TFDataReader.py
diff --git a/scripts/tagger/__init__.py b/scripts/tagger/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/tagger/api.py b/scripts/tagger/api.py
similarity index 100%
rename from tagger/api.py
rename to scripts/tagger/api.py
diff --git a/tagger/api_models.py b/scripts/tagger/api_models.py
similarity index 100%
rename from tagger/api_models.py
rename to scripts/tagger/api_models.py
diff --git a/tagger/dbimutils.py b/scripts/tagger/dbimutils.py
similarity index 96%
rename from tagger/dbimutils.py
rename to scripts/tagger/dbimutils.py
index 332b25b..e014967 100644
--- a/tagger/dbimutils.py
+++ b/scripts/tagger/dbimutils.py
@@ -1,54 +1,54 @@
-# DanBooru IMage Utility functions
-
-import cv2
-import numpy as np
-from PIL import Image
-
-
-def smart_imread(img, flag=cv2.IMREAD_UNCHANGED):
-    if img.endswith(".gif"):
-        img = Image.open(img)
-        img = img.convert("RGB")
-        img = cv2.cvtColor(np.array(img), cv2.COLOR_RGB2BGR)
-    else:
-        img = cv2.imread(img, flag)
-    return img
-
-
-def smart_24bit(img):
-    if img.dtype is np.dtype(np.uint16):
-        img = (img / 257).astype(np.uint8)
-
-    if len(img.shape) == 2:
-        img = cv2.cvtColor(img, cv2.COLOR_GRAY2BGR)
-    elif img.shape[2] == 4:
-        trans_mask = img[:, :, 3] == 0
-        img[trans_mask] = [255, 255, 255, 255]
-        img = cv2.cvtColor(img, cv2.COLOR_BGRA2BGR)
-    return img
-
-
-def make_square(img, target_size):
-    old_size = img.shape[:2]
-    desired_size = max(old_size)
-    desired_size = max(desired_size, target_size)
-
-    delta_w = desired_size - old_size[1]
-    delta_h = desired_size - old_size[0]
-    top, bottom = delta_h // 2, delta_h - (delta_h // 2)
-    left, right = delta_w // 2, delta_w - (delta_w // 2)
-
-    color = [255, 255, 255]
-    new_im = cv2.copyMakeBorder(
-        img, top, bottom, left, right, cv2.BORDER_CONSTANT, value=color
-    )
-    return new_im
-
-
-def smart_resize(img, size):
-    # Assumes the image has already gone through make_square
-    if img.shape[0] > size:
-        img = cv2.resize(img, (size, size), interpolation=cv2.INTER_AREA)
-    elif img.shape[0] < size:
-        img = cv2.resize(img, (size, size), interpolation=cv2.INTER_CUBIC)
-    return img
+# DanBooru IMage Utility functions
+
+import cv2
+import numpy as np
+from PIL import Image
+
+
+def smart_imread(img, flag=cv2.IMREAD_UNCHANGED):
+    if img.endswith(".gif"):
+        img = Image.open(img)
+        img = img.convert("RGB")
+        img = cv2.cvtColor(np.array(img), cv2.COLOR_RGB2BGR)
+    else:
+        img = cv2.imread(img, flag)
+    return img
+
+
+def smart_24bit(img):
+    if img.dtype is np.dtype(np.uint16):
+        img = (img / 257).astype(np.uint8)
+
+    if len(img.shape) == 2:
+        img = cv2.cvtColor(img, cv2.COLOR_GRAY2BGR)
+    elif img.shape[2] == 4:
+        trans_mask = img[:, :, 3] == 0
+        img[trans_mask] = [255, 255, 255, 255]
+        img = cv2.cvtColor(img, cv2.COLOR_BGRA2BGR)
+    return img
+
+
+def make_square(img, target_size):
+    old_size = img.shape[:2]
+    desired_size = max(old_size)
+    desired_size = max(desired_size, target_size)
+
+    delta_w = desired_size - old_size[1]
+    delta_h = desired_size - old_size[0]
+    top, bottom = delta_h // 2, delta_h - (delta_h // 2)
+    left, right = delta_w // 2, delta_w - (delta_w // 2)
+
+    color = [255, 255, 255]
+    new_im = cv2.copyMakeBorder(
+        img, top, bottom, left, right, cv2.BORDER_CONSTANT, value=color
+    )
+    return new_im
+
+
+def smart_resize(img, size):
+    # Assumes the image has already gone through make_square
+    if img.shape[0] > size:
+        img = cv2.resize(img, (size, size), interpolation=cv2.INTER_AREA)
+    elif img.shape[0] < size:
+        img = cv2.resize(img, (size, size), interpolation=cv2.INTER_CUBIC)
+    return img
diff --git a/tagger/format.py b/scripts/tagger/format.py
similarity index 100%
rename from tagger/format.py
rename to scripts/tagger/format.py
diff --git a/tagger/interrogator.py b/scripts/tagger/interrogator.py
similarity index 100%
rename from tagger/interrogator.py
rename to scripts/tagger/interrogator.py
diff --git a/tagger/preset.py b/scripts/tagger/preset.py
similarity index 100%
rename from tagger/preset.py
rename to scripts/tagger/preset.py
diff --git a/tagger/settings.py b/scripts/tagger/settings.py
similarity index 100%
rename from tagger/settings.py
rename to scripts/tagger/settings.py
diff --git a/tagger/ui.py b/scripts/tagger/ui.py
similarity index 100%
rename from tagger/ui.py
rename to scripts/tagger/ui.py
diff --git a/tagger/uiset.py b/scripts/tagger/uiset.py
similarity index 100%
rename from tagger/uiset.py
rename to scripts/tagger/uiset.py
diff --git a/tagger/utils.py b/scripts/tagger/utils.py
similarity index 100%
rename from tagger/utils.py
rename to scripts/tagger/utils.py