new

app.py

@@ -26,36 +26,6 @@ subprocess.run(
         "pip install ./extension/renderutils_plugin-0.1.0-cp310-cp310-linux_x86_64.whl --force-reinstall --no-deps"
     )
 )
-
-import base64
-import re
-import sys
-
-from models.ISOMER.scripts.utils import fix_vert_color_glb
-
-sys.path.append(os.path.abspath(os.path.join(__file__, '../')))
-if 'OMP_NUM_THREADS' not in os.environ:
-    os.environ['OMP_NUM_THREADS'] = '32'
-
-import shutil
-import torch
-import json
-import requests
-import shutil
-import threading
-from PIL import Image
-import time
-torch.backends.cuda.matmul.allow_tf32 = True
-import trimesh
-
-import random
-import time
-import numpy as np
-from video_render import render_video_from_obj
-
-access_token = os.getenv("HUGGINGFACE_TOKEN")
-
-
 # download cudatoolkit
 def install_cuda_toolkit():
     # CUDA_TOOLKIT_URL = "https://developer.download.nvidia.com/compute/cuda/11.8.0/local_installers/cuda_11.8.0_520.61.05_linux.run"
@@ -94,6 +64,33 @@ def check_gpu():
     print(f"torch.cuda.is_available:{torch.cuda.is_available()}")
 check_gpu()
 
+import base64
+import re
+import sys
+
+from models.ISOMER.scripts.utils import fix_vert_color_glb
+
+sys.path.append(os.path.abspath(os.path.join(__file__, '../')))
+if 'OMP_NUM_THREADS' not in os.environ:
+    os.environ['OMP_NUM_THREADS'] = '32'
+
+import shutil
+import torch
+import json
+import requests
+import shutil
+import threading
+from PIL import Image
+import time
+torch.backends.cuda.matmul.allow_tf32 = True
+import trimesh
+
+import random
+import time
+import numpy as np
+from video_render import render_video_from_obj
+
+access_token = os.getenv("HUGGINGFACE_TOKEN")
 from pipeline.kiss3d_wrapper import init_wrapper_from_config, run_text_to_3d, run_image_to_3d, image2mesh_preprocess, image2mesh_main
 
 is_running = False