app.py

import gradio as gr
import pulp
import pandas as pd
import openpyxl
import requests
import os
os.system('pip install paddlepaddle')
os.system('pip install paddleocr')
from paddleocr import PaddleOCR, draw_ocr
from PIL import Image
import torch
import re
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import numpy as np


html_code='''
<iframe src="https://web.powerva.microsoft.com/environments/Default-51a58d6c-4fcf-4b75-8608-d00bf7f244d5/bots/new_bot_830e155fc862429e89683426b31c9bd5/webchat" height="500" frameborder="1" style="width:100%"></iframe>
'''

ht_text='''
<iframe width="800" height="800" frameborder="0" scrolling="no" src="https://dyrscomcn-my.sharepoint.com/personal/huangcaiguang_dyrs_com_cn/_layouts/15/Doc.aspx?sourcedoc={6d3da844-5b54-473b-a32a-08659600d015}&action=embedview&AllowTyping=True&ActiveCell='业绩'!A1&wdInConfigurator=True&wdInConfigurator=True&edesNext=false&ejss=false"></iframe>
'''

demo = gr.Blocks(css='''
#chedan {-webkit-transition-duration: 0.4s; transition-duration: 0.4s; border-radius: 40%}
#chedan:hover {background-color: #4CAF50; color: white;}
#chedan:active {background-color: #3e8e41; box-shadow: 0 5px #666; transform: translateY(4px);}
''')

def fx1(x):
    return f"欢迎练习Gradio, {x}!"

def fx2(x,y):
    m=pulp.LpProblem()
    x=list(map(int,x.split(',')))
    t=[pulp.LpVariable('t'+str(i),cat=pulp.LpBinary) for i in range(len(x))]
    m+=pulp.lpDot(x,t)
    m+=(pulp.lpDot(x,t)==y)
    m.solve()
    resu={'data':[x[i] for i in range(len(t)) if pulp.value(t[i])]}
    return resu

def fx3(x):
    df=pd.read_excel(x,header=0,engine='openpyxl')
    return df
    
def fx4(x):
    url_s="https://tts.baidu.com/text2audio?tex="+x+"&cuid=baike&lan=ZH&ie=utf-8&ctp=1&pdt=301&vol=9&rate=32&per=0"
    return "点击音频文件 [voice]("+url_s+")"
    
def fx5():
    return html_code
    
def fx6(img, lang):
    ocr = PaddleOCR(use_angle_cls=True, lang={'中文':'ch','英文':'en','法文':'fr','德文':'german','韩文':'korean','日文':'japan'}[lang],use_gpu=False)
    img_path = img.name
    result = ocr.ocr(img_path, cls=True)
    image = Image.open(img_path).convert('RGB')
    boxes = [line[0] for line in result]
    txts = [line[1][0] for line in result]
    scores = [line[1][1] for line in result]
    im_show = draw_ocr(image, boxes, txts, scores,
                       font_path='simfang.ttf')
    im_show = Image.fromarray(im_show)
    im_show.save('result.jpg')
    return 'result.jpg',list(zip(txts))

def fx7(x,y):
    res=re.findall(r'{0}'.format(y),x)
    return res
def fx8(x,y,z):
    res=re.sub(r'{0}'.format(x),y,z)
    return res
    
def plot(v, a):
    g = 9.81
    theta = a / 180 * 3.14
    tmax = ((2 * v) * np.sin(theta)) / g
    timemat = tmax * np.linspace(0, 1, 40)[:, None]

    x = (v * timemat) * np.cos(theta)
    y = ((v * timemat) * np.sin(theta)) - ((0.5 * g) * (timemat**2))

    fig = plt.figure()
    plt.scatter(x=x, y=y, marker=".")
    plt.xlim(0, 100)
    plt.ylim(0, 60)
    return fig
    
def fx9(x):
    pd.options.plotting.backend='matplotlib'
    plt.close('all')
    ax = x.plot(x='数据1',y='数据2',kind='bar',title='chinese word error!', color=["red","green","purple"])
    ax.table(cellText=df.values,colLabels=df.columns,loc='bottom',colLoc='center')
    return ax.get_figure()
    
with demo:
    gr.Markdown(
    """
    # <center> WEB APP测试应用!
    <div align=center><img src="https://pbihub.cn/uploads/images/201809/23/44/n6xk1x6UnN.gif" width="405" height="405" /></div>
    """)
    with gr.Tabs():
        with gr.TabItem("测试1"):
            text_input = gr.Textbox(placeholder='请输入测试字符串，如"畅心"',label="请输入测试内容",show_label=True)
            text_output = gr.Textbox(label="输出结果",show_label=True)
            tj_button = gr.Button("提交>>",elem_id="chedan")
        with gr.TabItem("凑数"):
            val_input = [gr.Textbox(placeholder='请输入凑数序列，如"1,3,5,10,16,54,32,48,6,7"',label="请输入待凑数序列",show_label=True),gr.Number(value=80,label="请输入凑数和值",show_label=True)]
            json_output = gr.JSON(label="输出运算结果",show_label=True)
            cs_button = gr.Button("开始凑数>>")
        with gr.TabItem("文件交互"):
            file_input = gr.File(file_count="single",label="请选择需要读取的excel文件",show_label=True)
            table_output = gr.Dataframe(label="输出读取的表格数据",show_label=True)
            dq_button = gr.Button("开始读取>>")
        with gr.TabItem("TTS"):
            TS_input = gr.Textbox(placeholder='请输入测试字符串，如"欢迎测试字符串转语音功能模块"',label="请输入测试内容",show_label=True)
            audio_output = gr.Markdown(label="点击生成音频文件",show_label=True)
            tts_button = gr.Button("开始转换>>")
        with gr.TabItem("Power Virtual Agents"):
            pva_button = gr.Button("调用机器人对话>>")
            pva_output=gr.HTML(label="机器人聊天窗口",show_label=True)
        with gr.TabItem("Excel365测试"):
            gr.HTML(value=ht_text,label="在线版演示",show_label=True)
        with gr.TabItem("OCR识别"):
            ocr_input=[gr.Image(type='file', label='请提供你需要识别的照片'),gr.Dropdown(choices=['中文','英文','法文','德文','韩文','日文'], type="value", default='中文', label='请选择需要识别的语言')]
            ocr_output=[gr.Image(type='file', label='识别结果'),gr.Dataframe(label="识别信息",show_label=True)]
            ocr_button = gr.Button("开始ocr识别")
        with gr.TabItem("正则处理"):
            with gr.Row():
                with gr.Column():
                    gr.Markdown('<center> 正则匹配')
                    zz1_input = [gr.Textbox(placeholder='请输入测试字符串，如"畅心语文100，数学666，英语95.7"',label="请输入测试内容"),gr.Textbox(placeholder='请输入正则表达式，如"\d+"',label="请输入正则表达式")]
                    zz1_output = gr.Dataframe(label="输出正则匹配数据",show_label=True)
                    zz1_button = gr.Button("开始正则处理>>")
                with gr.Column():
                    gr.Markdown('<center> 正则替换')
                    zz2_input = [gr.Textbox(placeholder='输入正则表达式，如"\d+"',label="输入正则表达式"),gr.Textbox(placeholder='正则匹配对象替换为啥',label="输入替换为的字符串"),gr.Textbox(placeholder='待替换对象',label="输入原始字符串")]
                    zz2_output = gr.Textbox(label="输出",show_label=True)
                    zz2_button = gr.Button("开始正则替换>>")
        with gr.TabItem("图表展示1"):
            with gr.Row():
                with gr.Group():
                    speed = gr.Slider(1, 30, 25, label="Speed")
                    angle = gr.Slider(0, 90, 45, label="Angle")
                    output = gr.Plot()
                    tb_button = gr.Button("Run")
                with gr.Box():
                    pd_input=gr.Dataframe(headers=['数据1','数据2'],value=[[42,10],[68,15]],datatype='number',label="可编辑数据框",interactive=True)
                    pd_output=gr.Plot()
                    pd_button=gr.Button("编辑测试")
         
    tj_button.click(fx1, inputs=text_input, outputs=text_output)
    cs_button.click(fx2, inputs=val_input, outputs=json_output,api_name="ghqj")
    dq_button.click(fx3, inputs=file_input, outputs=table_output,api_name="df")
    tts_button.click(fx4, inputs=TS_input, outputs=audio_output)
    pva_button.click(fx5, inputs=[],outputs=pva_output)
    ocr_button.click(fx6,inputs=ocr_input,outputs=ocr_output,api_name="ocr")
    zz1_button.click(fx7,inputs=zz1_input,outputs=zz1_output,api_name="zzpp")
    zz2_button.click(fx8,inputs=zz2_input,outputs=zz2_output,api_name="zzth")
    tb_button.click(plot, [speed, angle], output)   
    pd_button.click(fx9,pd_input,pd_output)  

demo.launch(enable_queue=True)