change load_model1 method(load model to cpu not gpu)

app.py

@@ -37,6 +37,7 @@ warnings.filterwarnings('ignore')
 MAX_PATCHES = 512
 # Load the models and processor
 #device = torch.device("cpu")
+device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 
 # Paths to the models
 ko_deplot_model_path = './deplot_model_ver_kor_24.7.25_refinetuning_epoch3.bin'
@@ -44,12 +45,11 @@ aihub_deplot_model_path='./deplot_k.pt'
 t5_model_path = './ke_t5.pt'
 
 # Load first model ko-deplot
-@spaces.GPU(enable_queue=True,duration=120)
+
 def load_model1():
     processor1 = Pix2StructProcessor.from_pretrained('nuua/ko-deplot')
     model1 = Pix2StructForConditionalGeneration.from_pretrained('nuua/ko-deplot')
     model1.load_state_dict(torch.load(ko_deplot_model_path, map_location="cpu"))
-    model1.to(torch.device("cuda"))
     return processor1,model1
 
 processor1,model1=load_model1()