add application file

app.py

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+import gradio as gr
+import open3d as o3d
+import numpy as np
+import matplotlib.pyplot as plt
+import tempfile
+import os
+
+def process_point_cloud(file_obj):
+    # Save uploaded file temporarily
+    temp_path = os.path.join(tempfile.gettempdir(), file_obj.name)
+    with open(temp_path, "wb") as f:
+        f.write(file_obj.read())
+
+    # Load point cloud using Open3D
+    pcd = o3d.io.read_point_cloud(temp_path)
+
+    # Process: voxel downsampling
+    downsampled = pcd.voxel_down_sample(voxel_size=0.01)
+
+    # Estimate normals for visualization
+    downsampled.estimate_normals()
+
+    # Visualize to image
+    vis = o3d.visualization.Visualizer()
+    vis.create_window(visible=False)
+    vis.add_geometry(downsampled)
+    vis.poll_events()
+    vis.update_renderer()
+    img = vis.capture_screen_float_buffer(True)
+    vis.destroy_window()
+
+    # Convert image to numpy and return
+    img_np = (255 * np.asarray(img)).astype(np.uint8)
+    return img_np
+
+iface = gr.Interface(
+    fn=process_point_cloud,
+    inputs=gr.File(file_types=[".ply", ".pcd", ".xyz"], label="Upload Point Cloud"),
+    outputs=gr.Image(type="numpy", label="Rendered Point Cloud"),
+    title="Point Cloud Viewer",
+    description="Upload a .ply, .pcd, or .xyz file. The app will downsample and render it."
+)
+
+if __name__ == "__main__":
+    iface.launch()

requirements.txt

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+gradio
+open3d
+matplotlib
+numpy