wrapping with a decorator

app.py

@@ -20,7 +20,7 @@ def delete_model(model):
     del model
     torch.cuda.empty_cache()
 
-@spaces.GPU
+@spaces.GPU()
 def run_language_model(edit_prompt, device):
     language_model_id = "Qwen/Qwen1.5-0.5B-Chat"
     language_model = AutoModelForCausalLM.from_pretrained(
@@ -55,7 +55,7 @@ def run_language_model(edit_prompt, device):
     delete_model(language_model)
     return (to_replace, replace_with)
 
-@spaces.GPU
+@spaces.GPU()
 def run_image_captioner(image, device):
     caption_model_id = "Salesforce/blip-image-captioning-base"
     caption_model = BlipForConditionalGeneration.from_pretrained(caption_model_id).to(
@@ -70,7 +70,7 @@ def run_image_captioner(image, device):
     delete_model(caption_model)
     return caption
 
-@spaces.GPU
+@spaces.GPU()
 def run_segmentation(image, object_to_segment, device):
     # OWL-ViT for object detection
     owl_vit_model_id = "google/owlvit-base-patch32"
@@ -106,7 +106,7 @@ def run_segmentation(image, object_to_segment, device):
     delete_model(seg_model)
     return masks
 
-@spaces.GPU
+@spaces.GPU()
 def run_inpainting(image, replaced_caption, masks, device):
     pipeline = AutoPipelineForInpainting.from_pretrained(
         "diffusers/stable-diffusion-xl-1.0-inpainting-0.1",