remove some unnecessary code

app.py

@@ -25,27 +25,9 @@ from src.utils.infer_util import (remove_background, resize_foreground)
 from src.utils.mesh_util import save_glb, save_obj
 from src.utils.train_util import instantiate_from_config
 
-cache_path = path.join(path.dirname(path.abspath(__file__)), "models")
-os.environ["TRANSFORMERS_CACHE"] = cache_path
-os.environ["HF_HUB_CACHE"] = cache_path
-os.environ["HF_HOME"] = cache_path
-
 torch.backends.cuda.matmul.allow_tf32 = True
 
 
-class timer:
-    def __init__(self, method_name="timed process"):
-        self.method = method_name
-
-    def __enter__(self):
-        self.start = time.time()
-        print(f"{self.method} starts")
-
-    def __exit__(self, exc_type, exc_val, exc_tb):
-        end = time.time()
-        print(f"{self.method} took {str(round(end - self.start, 2))}s")
-
-
 def find_cuda():
     cuda_home = os.environ.get('CUDA_HOME') or os.environ.get('CUDA_PATH')
     if cuda_home and os.path.exists(cuda_home):
@@ -151,7 +133,7 @@ def make3d(images):
 @spaces.GPU
 def process_image(num_images, prompt):
     global pipe
-    with torch.inference_mode(), torch.autocast("cuda", dtype=torch.bfloat16), timer("inference"):
+    with torch.inference_mode(), torch.autocast("cuda", dtype=torch.bfloat16):
         return pipe(
             prompt=[prompt]*num_images,
             generator=torch.Generator().manual_seed(123),
@@ -206,8 +188,6 @@ model = model.to(device)
 
 # Load text-to-image model
 print('Loading text-to-image model ...')
-if not path.exists(cache_path):
-    os.makedirs(cache_path, exist_ok=True)
 
 pipe = StableDiffusionXLPipeline.from_pretrained(
     "stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.bfloat16)