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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"]
""" |