Created app.py

app.py

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+import gradio as gr
+import subprocess
+
+
+def run(input_ply):
+    subprocess.run(
+        "python3.10 convert.py big --force-cuda-rast --test_path " + input_ply,
+        shell=True,
+    )
+    return input_ply.replace(".ply", ".glb")
+
+
+def main():
+    title = """Splat to Mesh"""
+
+    description = """
+    Converts Gaussian Splat (.ply) to Mesh (.glb) using [LGM](https://github.com/3DTopia/LGM).
+    
+    For faster inference without waiting in a queue, you may duplicate the space and upgrade to a GPU in the settings.
+    """
+
+    css = """
+    #duplicate-button {
+        margin: auto;
+        color: white;
+        background: #1565c0;
+        border-radius: 100vh;
+    }
+    """
+
+    with gr.Blocks(title=title, css=css) as demo:
+        gr.DuplicateButton(
+            value="Duplicate Space for private use", elem_id="duplicate-button"
+        )
+
+        with gr.Row():
+            with gr.Column():
+                gr.Markdown("# " + title + "\n" + description)
+
+        with gr.Row(variant="panel"):
+            with gr.Column():
+                input_ply = gr.Model3D(label="Input Splat")
+                button_gen = gr.Button("Convert")
+
+            with gr.Column():
+                output_glb = gr.Model3D(label="Output GLB")
+
+            button_gen.click(run, inputs=[input_ply], outputs=[output_glb])
+
+        gr.Examples(
+            ["data_test/catstatue.ply"],
+            inputs=[input_ply],
+            outputs=[output_glb],
+            fn=lambda x: run(x),
+            cache_examples=True,
+            label="Examples",
+        )
+
+    demo.queue().launch(server_name="0.0.0.0", server_port=7860)
+
+
+if __name__ == "__main__":
+    main()