Upload app.py with huggingface_hub

app.py

@@ -39,7 +39,7 @@ def _pip(*a):
 
 print("=== Runtime installs ===")
 _pip("open3d>=0.18.0")
-_pip("utils3d")
+_pip("--no-deps", "utils3d")   # --no-deps: skip jupyter dependency
 _pip("iopath")
 _pip("--no-deps", "sam2>=1.1.0")
 _pip("--no-deps", "git+https://github.com/microsoft/MoGe.git@a8c37341bc0325ca99b9d57981cc3bb2bd3e255b")
@@ -50,8 +50,7 @@ for idx in ["https://docs.gsplat.studio/whl/pt210cu128",
     if _pip("--no-deps", f"--extra-index-url={idx}", "gsplat"):
         break
 
-# DO NOT import CUDA-dependent packages here - only in GPU functions!
-# Importing gsplat/open3d at startup can init CUDA and break ZeroGPU.
+# DO NOT import CUDA-dependent packages here!
 
 # --- Clone sam-3d-objects ---
 SAM3D_PATH = Path("/home/user/app/sam-3d-objects")
@@ -83,38 +82,27 @@ if hf_ckpt.exists() and not local_ckpt.exists():
     local_ckpt.symlink_to(hf_ckpt)
 CONFIG_PATH = str(local_ckpt / "pipeline.yaml")
 print(f"Config exists: {Path(CONFIG_PATH).exists()}")
-print("=== Startup complete (NO CUDA imports at startup) ===")
+print("=== Startup complete ===")
 
 # --- Endpoints ---
 
 @spaces.GPU(duration=60)
 def diagnose():
-    """Test GPU and modules in isolated manner."""
     import torch
     lines = [f"torch={torch.__version__}", f"cuda={torch.cuda.is_available()}"]
     if torch.cuda.is_available():
         lines.append(f"gpu={torch.cuda.get_device_name()}")
-    # Only test pure-python / safe imports
-    for mod in ["kaolin", "utils3d", "iopath", "pytorch3d"]:
+    for mod in ["kaolin", "utils3d", "iopath", "pytorch3d", "open3d", "gsplat", "moge"]:
         try:
             m = __import__(mod)
             lines.append(f"{mod}: OK ({getattr(m, '__version__', '-')})")
         except Exception as e:
             lines.append(f"{mod}: FAIL - {e}")
-    # Test CUDA modules one at a time  
-    for mod in ["open3d", "gsplat", "moge"]:
-        try:
-            m = __import__(mod)
-            lines.append(f"{mod}: OK ({getattr(m, '__version__', '-')})")
-        except Exception as e:
-            lines.append(f"{mod}: FAIL - {e}")
-    # sam2
     try:
         from sam2.automatic_mask_generator import SAM2AutomaticMaskGenerator
         lines.append("sam2: OK")
     except Exception as e:
         lines.append(f"sam2: FAIL - {e}")
-    # SAM3D inference
     try:
         from inference import Inference
         lines.append("SAM3D Inference: importable")