app.py

import gradio as gr

def duplicate_image(image):
    # Simply return the same image twice
    return image, image

# Create a Gradio interface
iface = gr.Interface(
    fn=duplicate_image, 
    inputs=gr.Image(type="pil"), 
    outputs=[gr.Image(type="pil"), gr.Image(type="pil")],
    title="Duplicate Image",
    description="Upload an image and get two identical copies as output."
)

# Launch the Gradio app
iface.launch()


""" 
from transformers import pipeline
from PIL import Image
import requests

# load pipe
pipe = pipeline(task="depth-estimation", model="LiheYoung/depth-anything-small-hf")

# load image
url = 'http://images.cocodataset.org/val2017/000000039769.jpg'
image = Image.open(requests.get(url, stream=True).raw)

# inference
depth = pipe(image)["depth"]

"""