diff --git a/wyzely_detect/__main__.py b/wyzely_detect/__main__.py
index dd618f2..937172e 100644
--- a/wyzely_detect/__main__.py
+++ b/wyzely_detect/__main__.py
@@ -37,7 +37,7 @@ def main():
     # It's taking up too many lines in this file
     argparser = argparse.ArgumentParser(
         prog="Wyzely Detect",
-        description="Recognize faces/objects in a video stream (from a webcam or a security camera) and send notifications to your devices", # noqa: E501
+        description="Recognize faces/objects in a video stream (from a webcam or a security camera) and send notifications to your devices",  # noqa: E501
         epilog=":)",
     )
 
@@ -89,7 +89,7 @@ def main():
         if "FACES_DIRECTORY" in os.environ and os.environ["FACES_DIRECTORY"] != ""
         else "faces",
         type=str,
-        help="The directory to store the faces. Can either contain images or subdirectories with images, the latter being the preferred method", # noqa: E501
+        help="The directory to store the faces. Can either contain images or subdirectories with images, the latter being the preferred method",  # noqa: E501
     )
     argparser.add_argument(
         "--detect-object",
@@ -202,7 +202,7 @@ def main():
         results = model(run_frame, verbose=False)
 
         path_to_faces = Path(args.faces_directory)
-        path_to_faces_exists = path_to_faces.is_dir() 
+        path_to_faces_exists = path_to_faces.is_dir()
 
         for i, r in enumerate(results):
             # list of dicts with each dict containing a label, x1, y1, x2, y2
@@ -216,8 +216,7 @@ def main():
             # May be better to check every iteration, but this also works
             if path_to_faces_exists:
                 if face_details := utils.recognize_face(
-                    path_to_directory=path_to_faces,
-                    run_frame=run_frame
+                    path_to_directory=path_to_faces, run_frame=run_frame
                 ):
                     plot_boxes.append(face_details)
                     objects_and_peoples = notify.thing_detected(
diff --git a/wyzely_detect/utils/utils.py b/wyzely_detect/utils/utils.py
index 46ae4d1..f0114ca 100644
--- a/wyzely_detect/utils/utils.py
+++ b/wyzely_detect/utils/utils.py
@@ -102,11 +102,10 @@ def recognize_face(
             print("representations_arcface.pkl does not exist")
         first_face_try = False
 
-
     # face_dataframes is a vanilla list of dataframes
     # It seems face_dataframes is empty if the face database (directory) doesn't exist. Seems to work if it's empty though
     # This line is here to prevent a crash if that happens. However, there is a check in __main__ so it shouldn't happen
-    face_dataframes = [] 
+    face_dataframes = []
     try:
         face_dataframes = DeepFace.find(
             run_frame,
@@ -117,12 +116,13 @@ def recognize_face(
             silent=True,
             # Could use VGG-Face, but whilst fixing another issue, ArcFace seemed to be slightly faster
             # I read somewhere that opencv is the fastest (but not as accurate). Could be changed later, but opencv seems to work well
-            model_name="ArcFace", detector_backend="opencv"
-            )
+            model_name="ArcFace",
+            detector_backend="opencv",
+        )
     except ValueError as e:
         if (
             str(e)
-            == "Face could not be detected. Please confirm that the picture is a face photo or consider to set enforce_detection param to False." # noqa: E501
+            == "Face could not be detected. Please confirm that the picture is a face photo or consider to set enforce_detection param to False."  # noqa: E501
         ):
             # print("No faces recognized") # For debugging
             return None