app.py

import gradio as gr
import numpy as np


from super_image import EdsrModel, ImageLoader
from PIL import Image
import requests



def greet(name):
    return "Hello " + name + "!!"

def transformation(image):
    print(image)
    print( type(image) )
    url = 'https://paperswithcode.com/media/datasets/Set5-0000002728-07a9793f_zA3bDjj.jpg'
    image = Image.open(requests.get(url, stream=True).raw)
    model = EdsrModel.from_pretrained('eugenesiow/edsr-base', scale=4)
    inputs = ImageLoader.load_image(image)
    preds = model(inputs)
    preds=np.array(preds)
    print(preds)
    ImageLoader.save_image(preds, './scaled_2x.png')
    ImageLoader.save_compare(inputs, preds, './scaled_2x_compare.png')


    
  #  large_image = cartoon_upsampling_8x(image, 'a_8x_larger_output_image.png' )
    return preds

with gr.Blocks() as demo:
    image1=gr.Image(type='filepath')
    
    button=gr.Button("LE BOUTON")
    image2=gr.Image(type='numpy')
    button.click(fn=transformation,inputs=image1,outputs=image2,api_name="upscale")


iface = gr.Interface(fn=greet, inputs="text", outputs="text")
demo.launch()