Update app.py

app.py

@@ -262,10 +262,15 @@ def rignet_inference(input_obj, bandwidth, threshold):
         return None, error_msg
 
 
-# Create Gradio interface
-def create_interface():
-    """Create and configure Gradio interface"""
+if __name__ == "__main__":
+    print("="*60)
+    print("RigNet Gradio Demo - Starting...")
+    print("="*60)
+    
+    # Pre-load models at startup
+    load_models()
     
+    # Create and launch interface using gr.Interface
     demo = gr.Interface(
         fn=rignet_inference,
         inputs=[
@@ -279,43 +284,30 @@ def create_interface():
         ],
         title="🎭 RigNet: Neural Rigging for 3D Characters",
         description="""
-        Upload a 3D character mesh (OBJ format) to automatically generate skeletal rig and skinning weights.
-        
-        **Recommended:** OBJ files with 1K-5K vertices work best.
-        **Processing time:** 1-3 minutes on CPU depending on mesh complexity.
+Upload a 3D character mesh (OBJ format) to automatically generate skeletal rig and skinning weights.
+
+**Recommended:** OBJ files with 1K-5K vertices work best.
+**Processing time:** 1-3 minutes on CPU depending on mesh complexity.
         """,
         article="""
-        ### 📚 About the Output
-        
-        The generated `*_rig.txt` file contains:
-        - **joints**: 3D positions of skeletal joints
-        - **root**: Root joint of the hierarchy
-        - **hier**: Parent-child relationships (skeleton hierarchy)
-        - **skin**: Skinning weights for each vertex
-        
-        This format can be imported into 3D animation software.
-        
-        **Reference:** [RigNet: Neural Rigging for Articulated Characters (SIGGRAPH 2020)](https://arxiv.org/abs/2005.00559)
+### 📚 About the Output
+
+The generated `*_rig.txt` file contains:
+- **joints**: 3D positions of skeletal joints
+- **root**: Root joint of the hierarchy  
+- **hier**: Parent-child relationships (skeleton hierarchy)
+- **skin**: Skinning weights for each vertex
+
+This format can be imported into 3D animation software.
+
+**Reference:** [RigNet: Neural Rigging for Articulated Characters (SIGGRAPH 2020)](https://arxiv.org/abs/2005.00559)
         """,
         allow_flagging="never"
     )
     
-    return demo
-
-
-if __name__ == "__main__":
-    print("="*60)
-    print("RigNet Gradio Demo - Starting...")
-    print("="*60)
-    
-    # Pre-load models at startup
-    load_models()
-    
-    # Create and launch interface
-    demo = create_interface()
     demo.launch(
         server_name="0.0.0.0",
         server_port=7860,
         share=False,
-        show_error=True  # Show errors in UI
+        show_error=True
     )