add @spaces.GPU

app.py

@@ -2,6 +2,7 @@ import os
 import cv2
 import time
 import torch
+import spaces
 import subprocess
 import numpy as np
 import gradio as gr
@@ -292,6 +293,7 @@ class GradioWindow():
         self.concatenated_masks = res
         return res, current_object, True
 
+    @spaces.GPU
     def detect(self, image: Image, prompt: str, is_segmmask: bool, 
                box_threshold: float, text_threshold: float):
         detections = self.grounding_dino_model.predict_with_classes(
@@ -362,6 +364,7 @@ class GradioWindow():
         image = cv2.addWeighted(image, 0.7, mask, 0.3, 0)
         return image
 
+    @spaces.GPU
     def segment(self, sam_predictor: SamPredictor, image: np.ndarray, xyxy: np.ndarray) -> np.ndarray:
         sam_predictor.set_image(image)
         result_masks = []
@@ -374,6 +377,7 @@ class GradioWindow():
             result_masks.append(masks[index])
         return np.array(result_masks)
 
+    @spaces.GPU
     def augment_image(self, image: Image, 
                       current_object: str, new_objects_list: str,
                       ddim_steps: int, guidance_scale: int, seed: int, return_prompt: str) -> tuple: