gradio基础入门

1.gradio程序启动

import gradio as gr
def tab():
    pass
with gr.Blocks() as ui:
    gr.Markdown("# <center>🕵️‍♂️gradio test 🕵️‍♂️</center>")
    tab()
ui.launch(server_name='127.0.0.1', server_port=8080,show_api=False, debug=True,share=True)

2.写入html相关代码

gr.HTML("# <center>🕵️‍♂️ Chatglm robot  🕵️‍♂️</center>")

3.文本框

# placeholder：默认提示词
text=gr.Textbox( label='user',placeholder='input question')

4.回车触发事件

msg = gr.Textbox( label='user',placeholder='input question')
msg.submit(user, [msg, chatbot], [msg, chatbot], queue=False).then(bot, chatbot, chatbot)

5.选择按钮框

mode_name= gr.Radio(['小红', '小白', '小胖', '小黑'], label='name', value='小红')

6.下拉框

# value:默认值
# label:组件名称
mode_type= gr.Dropdown(['1','2','3','4'], label='type', value='1')

7.点击按钮

# inputs：输入组件(输入参数），outputs：输出组件(输出参数）
# fn:触发时调用的函数
button = gr.Button("点击")
button.click(fn=update_keys, inputs=[model_key], outputs=prompt_key)

8.清空按钮

text=gr.Textbox( label='user',placeholder='input question')
clear = gr.Button("清除历史记录")
clear.click(lambda: None, None, text, queue=False)

9.监听组件

import gradio as gr
def tab():
    mode_input=gr.Textbox( label='user',placeholder='input question')
    mode_output =gr.Textbox( label='user',placeholder='input question')
    # mode_input值改变，mode_output值也会跟着改变
    # inputs：输入组件(输入参数），outputs：输出组件(输出参数）
    # fn:触发时调用的函数
    mode_input.change(fn=lambda x:x, inputs=mode_input, outputs=mode_output)
with gr.Blocks() as ui:
    gr.Markdown("# <center>🕵️‍♂️gradio test 🕵️‍♂️</center>")
    tab()
ui.launch(server_name='127.0.0.1', server_port=8080,show_api=False, debug=True,share=True)

输入组件变化，对应的下拉框显示的值也变化：

# data为pandas文件
mode_type= gr.Dropdown(types, label='type', value=types[0])
mode_title = gr.Dropdown(list(data[data['type']==types[0]]['title'].unique()), label='title')
mode_type.change(fn=lambda x:gr.update(choices=list(data[data['type']==x]['title'].unique())), inputs=mode_type, outputs=mode_title)

10.输出流

import time
import gradio as gr

def user(user_message, history):
    return "", history + [[user_message, None]]

def bot(history):
    bot_message = history[-1][0]
    history[-1][1] = ""
    for character in bot_message:
        history[-1][1] += character
        time.sleep(0.05)
        yield history
def robot_tab():
    chatbot = gr.Chatbot(label='robot')
    msg = gr.Textbox( label='user',placeholder='input question')
	  button = gr.Button("generate answer")
   # then: 监听事件
    button.click(user, [msg, chatbot], [msg, chatbot], queue=False).then(bot, chatbot, chatbot)
    clear = gr.Button("清除历史记录")
    clear.click(lambda: None, None, chatbot, queue=False)

with gr.Blocks() as ui:
    gr.Markdown("# <center>🕵️‍♂️ stream  🕵️‍♂️</center>")
    robot_tab()
# 使用队列提交数据
ui.queue()
ui.launch(server_name='127.0.0.1', server_port=8080,show_api=False, debug=True,share=True)

11.模板

import cv2
import gradio as gr


def update(mode_name,mode_age,mode_gender,mode_height):
    # image = image.convert('RGB')
    text=f'我叫{mode_name}，性别{mode_gender}，身高{mode_height},今年{mode_age}岁。'
    return text
    # return image

def prompt_tab():
    with gr.Column():
        with gr.Row():
            image = gr.Image(type='pil', label="Image")
            with gr.Column():
                mode_name= gr.Radio(['小红', '小白', '小胖', '小黑'], label='name', value='小红')
                mode_age = gr.Radio(['18', '30', '40', '50'], label='age', value='18')
                mode_gender = gr.Radio(['女', '男'], label='gender', value='女')
                mode_height = gr.Dropdown(['160','165','170','175','180'], value='160', label='height')
        prompt = gr.Textbox(label="Prompt")
    button = gr.Button("Personal Information")
    button.click(fn=update, inputs=[mode_name,mode_age,mode_gender,mode_height], outputs=prompt)


def image_analysis(input_image):
    output_image =input_image
    return output_image

def analyze_tab():
    with gr.Column():
        with gr.Row():
            # 创建输入组件
            input_image = gr.Image(type='numpy', label="Image")
            with gr.Column():
                # 创建输出组件
                # output_image = gr.outputs.Image(type='pil', label="Image")
                output_image = gr.outputs.Image(type='numpy',label="Image")
    button = gr.Button("Analyze")
    button.click(image_analysis, inputs=[input_image], outputs=[output_image])

with gr.Blocks() as ui:
    gr.Markdown("# <center>🕵️‍♂️ gradio project  🕵️‍♂️</center>")
    with gr.Tab("Prompt"):
        prompt_tab()
    with gr.Tab("Analyze"):
        analyze_tab()

ui.launch(server_name='127.0.0.1', server_port=8080,show_api=False, debug=True,share=True)