app.py

import gradio as gr
from PIL import Image
from main import Upscale_CaseCade
import spaces

upscale_class=Upscale_CaseCade()
# scale_fator=7
# url = "https://cdn.discordapp.com/attachments/1121232062708457508/1205110687538479145/A_photograph_of_a_sunflower_with_sunglasses_on_in__3.jpg?ex=65d72dc9&is=65c4b8c9&hm=72172e774ce6cda618503b3778b844de05cd1208b61e185d8418db512fb2858a&"
# image_pil=Image.open("/home/rnd/Documents/Ameer/StableCascade/poster.png").convert("RGB")
@spaces.GPU
def scale_image(image_pil,scale_factor):
    og,ups=upscale_class.upscale_image(image_pil=image_pil.convert("RGB"),scale_fator=scale_factor)
    return [ups]
DESCRIPTION = "# Stable Cascade -> Super Resolution"
DESCRIPTION += "\n<p style=\"text-align: center\">Unofficial demo for Cascade-Super Resolution  <a href='https://huggingface.co/stabilityai/stable-cascade' target='_blank'>Stable Upscale Cascade</a>, a new high resolution image-to-image model by Stability AI, - <a href='https://huggingface.co/stabilityai/stable-cascade/blob/main/LICENSE' target='_blank'>non-commercial research license</a></p>"
# block = gr.Blocks(css="footer {visibility: hidden}", theme='freddyaboulton/dracula_revamped').queue()
block = gr.Blocks(css="footer {visibility: hidden}", theme='freddyaboulton/dark').queue()

with block:
    with gr.Row():
        gr.Markdown(DESCRIPTION)
    with gr.Tabs():
        with gr.Row():
            with gr.Column():
                image_pil = gr.Image(label="Describe the Image", type='pil')
                scale_factor = gr.Slider(minimum=1,maximum=10,value=1, step=1, label="Scale Factor")
                generate_button = gr.Button("Upscale Image")
            with gr.Column():
                generated_image = gr.Gallery(label="Generated Image",)

        generate_button.click(fn=scale_image, inputs=[image_pil,scale_factor], outputs=[generated_image])

block.launch(show_api=False, server_port=8888, share=False, show_error=True, max_threads=1)

# pip install gradio==4.16.0 gradio_client==0.8.1