spaces

app.py

@@ -4,6 +4,8 @@ import torch
 import random
 import numpy as np
 
+import spaces
+
 import PIL
 from PIL import Image
 
@@ -22,8 +24,6 @@ from controlnet_util import openpose, get_depth_map, get_canny_image
 
 import gradio as gr
 
-import spaces
-
 # global variable
 MAX_SEED = np.iinfo(np.int32).max
 device = "cuda" if torch.cuda.is_available() else "cpu"