HF Space: load pipelines before module-level demo, fix import entry

- Move from_pretrained and device placement before build_app() so import finds demo and PIPELINE
- Use torch.cuda.is_available() for cuda vs cpu (works local and when import has no GPU)
- __main__ only runs demo.launch()

Made-with: Cursor

app.py

@@ -989,16 +989,20 @@ def build_app() -> gr.Blocks:
     return demo
 
 
-demo = build_app()
-
-if __name__ == "__main__":
-
-    PIPELINE = NeARImageToRelightable3DPipeline.from_pretrained("luh0502/NeAR")
-    GEOMETRY_PIPELINE = Hunyuan3DDiTFlowMatchingPipeline.from_pretrained("tencent/Hunyuan3D-2.1")
+PIPELINE = NeARImageToRelightable3DPipeline.from_pretrained("luh0502/NeAR")
+GEOMETRY_PIPELINE = Hunyuan3DDiTFlowMatchingPipeline.from_pretrained("tencent/Hunyuan3D-2.1")
 
+if torch.cuda.is_available():
     PIPELINE.to("cuda")
     GEOMETRY_PIPELINE.to("cuda")
+else:
+    PIPELINE.to("cpu")
+    GEOMETRY_PIPELINE.to("cpu")
 
+demo = build_app()
+
+
+if __name__ == "__main__":
     demo.launch(
         mcp_server=True
     )