cancelled spaces

app.py

@@ -1,6 +1,6 @@
 import gradio as gr
 from PIL import Image
-import spaces
+# import spaces
 import torch
 from transformers import BlipProcessor, BlipForConditionalGeneration
 
@@ -8,7 +8,7 @@ device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
 processor = BlipProcessor.from_pretrained("noamrot/FuseCap_Image_Captioning")
 model = BlipForConditionalGeneration.from_pretrained("noamrot/FuseCap_Image_Captioning").to(device)
 
-@spaces.GPU(duration=15)
+# @spaces.GPU(duration=15)
 def inference(raw_image):
     text = "a picture of "
     inputs = processor(raw_image, text, return_tensors="pt").to(device)