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import gradio as gr
from transformers import pipeline
from PIL import Image
import torch
device = "cuda" if torch.cuda.is_available() else "cpu"
pipe = pipeline(task="image-to-image", model="caidas/swin2SR-lightweight-x2-64", device=device)
def upscale_image(image):
upscaled = pipe(image)
return upscaled
iface = gr.Interface(
fn=upscale_image,
inputs=gr.Image(type="pil"),
outputs=gr.Image(type="pil"),
title="Image Super Resolution",
description="Upscale an image using Swin2SR."
)
iface.launch() |