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# 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()
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