| # 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(share=True) | |