Remove redundant torch import and streamline device initialization in app.py

app.py

@@ -1,5 +1,7 @@
 from diffusers import FluxPipeline, AutoencoderKL
 from live_preview_helpers import flux_pipe_call_that_returns_an_iterable_of_images
+import torch
+
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 pipe = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16).to(device)
 good_vae = AutoencoderKL.from_pretrained("black-forest-labs/FLUX.1-dev", subfolder="vae", torch_dtype=torch.bfloat16).to(device)
@@ -12,7 +14,6 @@ from gradio_litmodel3d import LitModel3D
 import os
 os.environ['SPCONV_ALGO'] = 'native'
 from typing import *
-import torch
 import numpy as np
 import imageio
 import uuid