import gradio as gr
from PIL import Image
import numpy as np

def process_image(image):
    if image is None:
        return None
    
    # Convert to numpy array if it's a PIL Image
    if isinstance(image, Image.Image):
        image = np.array(image)
    
    # Display image information
    height, width = image.shape[:2]
    info = f"Image size: {width}x{height}"
    
    return image, info

# Define the Gradio interface
iface = gr.Interface(
    fn=process_image,
    inputs=gr.Image(type="pil"),
    outputs=[
        gr.Image(type="numpy", label="Uploaded Image"),
        gr.Textbox(label="Image Information")
    ],
    title="Simple Image Uploader",
    description="Upload an image to display it and show basic information."
)

# Launch the interface
iface.launch()