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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"] | |
""" |