Update app.py

app.py

@@ -166,96 +166,4 @@ with gr.Blocks(title="Persistent 3D Cortex Demo") as demo:
         outputs=[viewer_output, status_output]
     )
 
-demo.launch()
-    def export_ply(self, path="output.ply"):
-        # Prepare vertex data matching gsplat.js expected properties
-        zeros = np.zeros((self.num, 3), dtype=np.float32)
-        log_scales = np.log(self.scales.cpu().numpy()).astype(np.float32)
-
-        vertex_data = np.core.records.fromarrays([
-            self.positions.cpu().numpy().astype(np.float32),
-            zeros,  # normals (unused)
-            self.colors.cpu().numpy().astype(np.float32),
-            self.opacities.cpu().numpy().astype(np.float32),
-            log_scales,
-            self.rotations.cpu().numpy().astype(np.float32)
-        ], names='x,y,z,nx,ny,nz,f_dc_0,f_dc_1,f_dc_2,opacity,scale_0,scale_1,scale_2,rot_0,rot_1,rot_2,rot_3')
-
-        el = plyfile.PlyElement.describe(vertex_data, 'vertex')
-        plyfile.PlyData([el], text=True).write(path)
-        return os.path.abspath(path)
-
-def process(image: Image.Image, prompt: str = ""):
-    cortex = PersistentCortex(num_gaussians=8000)
-    cortex.evolve_from_image(image, steps=800)
-    if prompt:
-        cortex.condition_on_prompt(prompt)
-
-    ply_path = cortex.export_ply("/tmp/output.ply")
-
-    # In Hugging Face Spaces, /tmp files are automatically served under /files/
-    viewer_html = f"""
-    <div id="viewer" style="width:100%; height:600px; background:#000;"></div>
-    <script type="module">
-    import * as SPLAT from "https://cdn.jsdelivr.net/npm/gsplat@latest";
-
-    const container = document.getElementById('viewer');
-    const canvas = document.createElement('canvas');
-    canvas.style.width = '100%';
-    canvas.style.height = '100%';
-    container.appendChild(canvas);
-
-    const scene = new SPLAT.Scene();
-    const camera = new SPLAT.Camera();
-    const renderer = new SPLAT.WebGLRenderer({{ canvas }});
-    const controls = new SPLAT.OrbitControls(camera, canvas);
-
-    controls.autoRotate = false;
-    controls.enableDamping = true;
-    controls.dampingFactor = 0.05;
-    controls.rotateSpeed = 1.0;
-    controls.zoomSpeed = 1.2;
-    controls.panSpeed = 0.8;
-
-    await SPLAT.Loader.LoadAsync("/files/output.ply", scene);
-
-    function animate() {{
-        controls.update();
-        renderer.render(scene, camera);
-        requestAnimationFrame(animate);
-    }}
-    animate();
-    </script>
-    """
-
-    status = "3D Gaussian splat generated and evolved from your image"
-    if prompt:
-        status += f" with prompt conditioning: '{prompt}'."
-    else:
-        status += "."
-
-    return viewer_html, status
-
-with gr.Blocks(title="Persistent 3D Cortex Demo") as demo:
-    gr.Markdown("# Persistent 3D Cortex – Interactive Demo")
-    gr.Markdown("""
-    Upload an image and optionally add a text prompt.  
-    The system evolves a persistent 3D Gaussian splat representation influenced by the image content and prompt.
-    """)
-    
-    with gr.Row():
-        img_input = gr.Image(type="pil", label="Input Image")
-        prompt_input = gr.Textbox(label="Prompt (e.g., 'shiny red apple', 'futuristic city')", placeholder="Optional text prompt")
-    
-    generate_btn = gr.Button("Generate & Evolve 3D", variant="primary")
-    
-    viewer_output = gr.HTML(label="Interactive 3D Viewer")
-    status_output = gr.Textbox(label="Status")
-
-    generate_btn.click(
-        fn=process,
-        inputs=[img_input, prompt_input],
-        outputs=[viewer_output, status_output]
-    )
-
 demo.launch()