Update lisa_on_cuda/utils/app_helpers.py

The **inference_decorator** was not passed to the model loading function. This gives the illusion that the model load function has no GPU. It still worked before.
There are other ways to do **.to("cuda")** the models in the inference function after they have been loaded into the CPU. Where this is possible, this is lighter.

lisa_on_cuda/utils/app_helpers.py

@@ -309,7 +309,7 @@ def get_inference_model_by_args(
     if internal_logger0 is None:
         internal_logger0 = app_logger
     internal_logger0.info(f"args_to_parse:{args_to_parse}, creating model...")
-    model, clip_image_processor, tokenizer, transform = get_model(args_to_parse, device_map=device_map, device=device)
+    model, clip_image_processor, tokenizer, transform = get_model(args_to_parse, device_map=device_map, device=device, inference_decorator=inference_decorator)
     internal_logger0.info("created model, preparing inference function")
     no_seg_out = placeholders["no_seg_out"]