Code refactoring

app.py

@@ -8,7 +8,7 @@ from deepface import DeepFace
 from ultralytics import YOLO
 import urllib.request
 
-with open("config.json", "r") as f:
+with open('config.json', 'r') as f:
     config = json.load(f)
 
 FACE_DIST_TRESH = config['FACE_DIST_TRESH']
@@ -70,8 +70,8 @@ def create_image(images):
     img_x = id_col_width + 10
     y = text_margin
 
-    cv2.putText(table, "Image ID", (id_x, y), font, font_scale, color, thickness)
-    cv2.putText(table, "Face", (img_x, y), font, font_scale, color, thickness)
+    cv2.putText(table, 'Image ID', (id_x, y), font, font_scale, color, thickness)
+    cv2.putText(table, 'Face', (img_x, y), font, font_scale, color, thickness)
 
     y += margin
 
@@ -125,11 +125,11 @@ with gr.Blocks(theme='soft', title='SquadDetective') as blocks:
     gr.HTML(title)
     gr.Markdown('SquadDetective is a service that helps sports teams to identify unclaimed players by comparing their faces to photos taken during matches. By using state-of-the-art facial recognition technology, SquadDetective can quickly and accurately match the faces of players in photos to a database of registered players, allowing teams to quickly identify any unclaimed players and take appropriate action. With SquadDetective, sports teams can ensure that all players are properly registered and eligible to play, helping to avoid potential penalties and other issues')
     with gr.Row():
-        avatars = gr.inputs.File(label="Avatar images (zip)")
-        photos = gr.inputs.File(label="Photos to be processed (zip)")
+        avatars = gr.inputs.File(label='Avatar images (zip)')
+        photos = gr.inputs.File(label='Photos to be processed (zip)')
     inputs = [avatars, photos]
     process_button = gr.Button('Process')
-    outputs=gr.outputs.Image(type="numpy", label="Results")
+    outputs=gr.outputs.Image(type='numpy', label='Results')
     process_button.click(fn=check, inputs=inputs, outputs=outputs)
 
 blocks.launch()