Create app.py

Initial commit

app.py

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+import gradio as gr
+import numpy as np
+# Import your 3D image processing model here
+
+def process_3d_image(input_image):
+    # Your model processing logic here
+    # This is a placeholder function
+    output_mask = np.random.randint(0, 2, input_image.shape).astype(bool)
+    return output_mask
+
+demo = gr.Interface(
+    fn=process_3d_image,
+    inputs=gr.Model3D(label="Input 3D Image"),
+    outputs=gr.Model3D(label="Output 3D Binary Mask"),
+    title="3D Image to Binary Mask",
+    description="Upload a 3D image (x,y,z) and get a 3D binary mask as output."
+)
+
+if __name__ == "__main__":
+    demo.launch()