VenusM1nT/HCIProject

1import gradio as gr2from PIL import Image3import time4 5with gr.Blocks(theme='NoCrypt/miku') as demo:6    feedback_visible = gr.State(False)7 8    def submit_feedback(feedback):9        # 隐藏评价区域，并返回提示信息10        return {feedback_group: gr.update(visible=False)}, gr.Info("感谢您的评价")11 12    def func(txt, inimage, p1, p2, p3, p4, progress=gr.Progress()):13        progress(0, desc="Starting")14        time.sleep(1)15        progress(0.3, desc="Progressing")16        time.sleep(p1)17        progress(1, desc="Completed")18        img = Image.open('img/bg.png')19 20        time.sleep(2)21        # 返回显示评价区域22        return img, gr.update(visible=True)23 24    with gr.Row():25        with gr.Column():26            textinfo = gr.Textbox(label="输入文字")27            with gr.Row():28                inputimage = gr.Image(label="输入图片")29                with gr.Column():30                    para1 = gr.Slider(label="参数 1")31                    para2 = gr.Slider(label="参数 2")32                    para3 = gr.Slider(label="参数 3")33                    para4 = gr.Slider(label="参数 4")34            genebutton = gr.Button("生成")35        with gr.Column():36            outputimage = gr.Image(label="输出图片")37 38    # 使用 Group 替代 Box，并将其初始设为不可见39    with gr.Group(visible=False) as feedback_group:40        feedback = gr.Textbox(label="请输入您的使用评价")41        submit_btn = gr.Button("Submit")42 43    submit_btn.click(44        fn=submit_feedback,45        inputs=[feedback],46        outputs=[feedback_group]47    )48 49    genebutton.click(50        fn=func,51        inputs=[textinfo, inputimage, para1, para2, para3, para4],52        outputs=[outputimage, feedback_group]53    )54 55demo.launch()