Create app,py

app,py

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+import gradio as gr
+from PIL import Image
+import numpy as np
+
+# Placeholder function to simulate 3D model generation
+def generate_3d_model(image):
+    # Convert the uploaded image to a numpy array for processing
+    image_array = np.array(image)
+
+    # Placeholder logic: simply return the same image (you can replace this with actual processing)
+    # Here you would typically use a 3D modeling library or call an external API to process the image
+    processed_image = image_array  # This line simulates processing
+
+    # Convert back to PIL image for display
+    result_image = Image.fromarray(processed_image)
+
+    return result_image
+
+# Gradio interface definition
+iface = gr.Interface(
+    fn=generate_3d_model,
+    inputs=gr.inputs.Image(type="pil", label="Upload Jewelry Image"),
+    outputs=gr.outputs.Image(type="pil", label="Generated 3D Model"),
+    title="3D Jewelry Model Generator",
+    description="Upload an image of jewelry to generate a 3D model. This is a placeholder for the actual 3D generation functionality.",
+    theme="compact"
+)
+
+# Launch the interface
+if __name__ == "__main__":
+    iface.launch()