Update app.py

app.py

@@ -1,5 +1,5 @@
 import gradio as gr
-import spaces
+# import spaces
 from PIL import Image
 from src.tryon_pipeline import StableDiffusionXLInpaintPipeline as TryonPipeline
 from src.unet_hacked_garmnet import UNet2DConditionModel as UNet2DConditionModel_ref
@@ -121,7 +121,7 @@ pipe = TryonPipeline.from_pretrained(
 )
 pipe.unet_encoder = UNet_Encoder
 
-@spaces.GPU
+# @spaces.GPU
 def start_tryon(dict,garm_img,garment_des,is_checked,is_checked_crop,denoise_steps,seed):
     device = "cuda"