Update app.py

app.py

@@ -176,8 +176,6 @@ def extract_gaussian(state: dict, req: gr.Request) -> Tuple[str, str]:
     torch.cuda.empty_cache()
     return gaussian_path, gaussian_path
 
-# Gradio Interface
-# Gradio Interface
 # Gradio Interface
 with gr.Blocks() as demo:
     gr.Markdown("""
@@ -228,6 +226,11 @@ with gr.Blocks() as demo:
             slat_guidance_strength = gr.Slider(0.0, 10.0, label="Guidance Strength", value=3.0, step=0.1)
             slat_sampling_steps = gr.Slider(1, 50, label="Sampling Steps", value=12, step=1)
 
+    # Variables para la extracción de GLB
+    with gr.Accordion("GLB Extraction Settings", open=False):
+        mesh_simplify = gr.Slider(0.9, 0.98, label="Simplify", value=0.95, step=0.01)
+        texture_size = gr.Slider(512, 2048, label="Texture Size", value=1024, step=512)
+
     # Estado para almacenar la imagen generada temporalmente
     temp_image_state = gr.State()
     output_buf = gr.State()
@@ -282,6 +285,7 @@ with gr.Blocks() as demo:
         lambda: gr.Button(interactive=True),
         outputs=[download_gs],
     )
+    
 # Initialize both pipelines
 if __name__ == "__main__":
     from diffusers import FluxTransformer2DModel, FluxPipeline, BitsAndBytesConfig, GGUFQuantizationConfig