fix zero

app.py

@@ -15,19 +15,21 @@ device = torch.device('cuda')
 seed_everything(0)
 args = parse_args()
 
-model = None
+model = []
 
 @spaces.GPU
 def inference(rgb, subject, prompt, strength, seed):
     global model
+    print(f"model length: {len(model)}")    
+    
     seed = int(seed) if seed else 0
     seed = seed if not seed == 0 else np.random.randint(0,1000)
     
-    if model is None:
+    if len(model) == 0:
         from model_lib.modules import MoMA_main_modal
-        model = MoMA_main_modal(args).to(device, dtype=torch.float16)
+        model += [MoMA_main_modal(args).to(device, dtype=torch.float16)]
     
-    generated_image = model.generate_images(rgb, subject, prompt, strength=strength, seed=seed)
+    generated_image = model[0].generate_images(rgb, subject, prompt, strength=strength, seed=seed)
 
     return generated_image