# import gradio as gr
# import numpy as np


# def gennerateImage(input_array,eps):
#     eps = eps / 100
#     mask = np.random.random(input_array.shape)
#     mask = mask * 2 - 1 # 将mask的值转换为-1到1之间
#     noise_img = (input_array * (1 + mask * eps)).astype(np.uint8) % 255
#     return noise_img

# demo = gr.Interface(
#     gennerateImage, 
#     inputs=[
#         gr.Image(),
#         gr.Slider(1, 10, 3)
#     ],
#     outputs="image"
#     )

# demo.launch(share=True)

import gradio as gr
import time

def slowly_reverse(word, progress=gr.Progress()):
    progress(0, desc="Starting")
    time.sleep(1)
    progress(0.05)
    new_string = ""
    for letter in progress.tqdm(word, desc="Reversing"):
        time.sleep(0.25)
        new_string = letter + new_string
    return new_string

demo = gr.Interface(slowly_reverse, gr.Text(), gr.Text())

if __name__ == "__main__":
    demo.queue(concurrency_count=10).launch()