remove external mesh conversion

app.py

@@ -33,8 +33,8 @@ splat_pipeline = DiffusionPipeline.from_pretrained(
 ).to("cuda")
 
 
-@spaces.GPU(duration=420)
-def run(input_image, convert):
+@spaces.GPU
+def run(input_image):
     input_image = input_image.astype("float32") / 255.0
     images = image_pipeline(
         "", input_image, guidance_scale=5, num_inference_steps=30, elevation=0
@@ -42,18 +42,7 @@ def run(input_image, convert):
     gaussians = splat_pipeline(images)
     output_ply_path = os.path.join(TMP_DIR, "output.ply")
     splat_pipeline.save_ply(gaussians, output_ply_path)
-    if convert:
-        output_mesh_path = convert_to_mesh(output_ply_path)
-        return output_mesh_path
-    else:
-        return output_ply_path
-
-
-def convert_to_mesh(input_ply):
-    client = Client("https://dylanebert-splat-to-mesh.hf.space/")
-    output_mesh_path = client.predict(file(input_ply), api_name="/run")
-    client.close()
-    return output_mesh_path
+    return output_ply_path
 
 
 _TITLE = """LGM Mini"""
@@ -61,6 +50,8 @@ _TITLE = """LGM Mini"""
 _DESCRIPTION = """
 <div>
 A lightweight version of <a href="https://huggingface.co/spaces/ashawkey/LGM">LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation</a>.
+
+To convert to mesh, download the output splat and visit [splat-to-mesh](https://huggingface.co/spaces/dylanebert/splat-to-mesh).
 </div>
 """
 
@@ -86,19 +77,7 @@ with block:
 
     with gr.Row(variant="panel"):
         with gr.Column(scale=1):
-
-            def update_warning(checked):
-                if checked:
-                    return '<span style="color: #ff0000;">Warning: Mesh conversion takes several minutes and might not work. Visit https://huggingface.co/spaces/dylanebert/splat-to-mesh to convert yourself.</span>'
-                else:
-                    return ""
-
             input_image = gr.Image(label="image", type="numpy")
-            convert_checkbox = gr.Checkbox(label="Convert to Mesh")
-            warning = gr.HTML()
-            convert_checkbox.change(
-                fn=update_warning, inputs=[convert_checkbox], outputs=[warning]
-            )
             button_gen = gr.Button("Generate")
 
         with gr.Column(scale=1):