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import gradio as gr |
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import pandas as pd |
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from datatable import (dt, f,fread, by, ifelse, update, sort,count, min, max, mean, sum, rowsum,rowmean,rowcount,shift,rbind,cbind,union) |
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import requests |
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''' |
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import hashlib |
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import tempfile |
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from TTS.utils.manage import ModelManager |
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from TTS.utils.synthesizer import Synthesizer |
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def fx(x:str): |
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hash=hashlib.md5() |
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hash.update(x.encode(encoding='utf-8')) |
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return hash.hexdigest() |
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manager = ModelManager() |
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model_path, config_path, model_item = manager.download_model("tts_models/zh-CN/baker/tacotron2-DDC-GST") |
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synthesizer = Synthesizer( |
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model_path, config_path, None, None, None, |
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) |
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def inference(text: str): |
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wavs = synthesizer.tts(text) |
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with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as fp: |
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synthesizer.save_wav(wavs, fp) |
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return fp.name |
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''' |
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def fx_m(s:str): |
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headers= {"Content-Type": "application/json"} |
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url="https://m-formatter.azurewebsites.net/api/v2" |
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data={'code':s,'resultType':'text'} |
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respose=requests.post(url,json=data,headers=headers) |
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ms=respose.json() |
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return ms['result'] |
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def fx_dax(s:str): |
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url="https://www.daxformatter.com/" |
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data = {"embed":"1","l":"short","fx":s} |
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ct=requests.post(url = url,data = data) |
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html=ct.text |
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s1=html.split('<div class="result">')[1] |
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s2='<div class="result">'+s1.split('<a href')[0]+'<a href="https://pbihub.cn/users/44" target="_top"><img src="https://pbihub.cn/uploads/avatars/44_1536391253.jpg?imageView2/1/w/380/h/380" alt="万剑归宗" class="badge" width="380" height="380"></a>' |
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return s2 |
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def fx_datatable(code:str): |
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namespace = {} |
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fun = compile(code,'<string>','exec') |
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exec(fun,namespace) |
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return namespace['py_exe'] |
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''' |
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def fx_dd(tk:str,s:str): |
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headers= {"Content-Type": "application/json"} |
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url="https://oapi.dingtalk.com/robot/send?access_token="+tk |
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data={'msgtype':'text','text':{'title': '吹牛逼',"content": s}, 'at': {'atMobiles': [], 'isAtAll': True}} |
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response=requests.post(url,json=data,headers=headers) |
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return response.text |
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def dd_ocr(tk,sl,dt): |
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headers= {"Content-Type": "application/json"} |
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url="https://oapi.dingtalk.com/topapi/ocr/structured/recognize?access_token="+tk |
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dc={"身份证":"idcard","增值税发票":"invoice","营业执照":"blicense","银行卡":"bank_card","车牌":"car_no","机动车发票":"car_invoice","驾驶证":"driving_license","行驶证":"vehicle_license","火车票":"train_ticket","定额发票":"quota_invoice","出租车发票":"taxi_ticket","机票行程单":"air_itinerary","审批表单":"approval_table","花名册":"roster"} |
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data={"image_url":sl,"type":dc[dt]} |
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response=requests.post(url,json=data,headers=headers) |
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return response.json() |
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def fx_dt(dc,x,y): |
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DT=fread(dc) |
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gr.JSON(DT.names) |
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D_table=DT[:,sum(f[int(y-1)]),by(f[int(x-1)])] |
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return D_table.to_pandas() |
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''' |
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demo=gr.Blocks(css="#jsc:hover{background-color: red;}") |
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with demo: |
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with gr.Tabs(selected=5): |
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''' |
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with gr.TabItem("测试1"): |
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with gr.Column(): |
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text_input=gr.Textbox(placeholder='请输入测试字符串',label="请输入需要MD5加密的测试内容") |
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text_output=gr.Textbox(label="输出",visible=False) |
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text_input.change(fn=lambda visible: gr.update(visible=True), inputs=text_input, outputs=text_output) |
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bb_button=gr.Button("运行") |
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bb_button.click(fx, inputs=text_input, outputs=text_output,api_name='md5') |
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with gr.Column(): |
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gr.Markdown("# TTS文本字符串转语音合成训练") |
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TTS_input=gr.Textbox(label="输入文本") |
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TTS_button=gr.Button("合成") |
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TTS_button.click(inference, inputs=TTS_input, outputs=gr.Audio(label="输出合成结果"),api_name='tts')''' |
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with gr.TabItem("M-Formatter"): |
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gr.Markdown("# PowerQuery M语言脚本格式化测试") |
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M_input=gr.Textbox(label="请填写需要格式化的M脚本",lines=18) |
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M_output=gr.Textbox(label="格式化结果",lines=50) |
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M_button=gr.Button("开始格式化>>") |
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M_button.click(fx_m, inputs=M_input, outputs=M_output,api_name='M') |
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with gr.TabItem("DAX-Formatter"): |
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gr.Markdown("# DAX表达式格式化测试") |
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with gr.Row(): |
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DAX_input=gr.Textbox(label="请填写需要格式化的DAX表达式",lines=28) |
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DAX_button=gr.Button("格式化>>") |
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DAX_output=gr.HTML(label="DAX表达式格式化结果") |
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DAX_button.click(fx_dax, inputs=DAX_input, outputs=DAX_output,api_name='DAX') |
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with gr.TabItem("Python-Execute"): |
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gr.Markdown("# Python脚本测试") |
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d_input=gr.Textbox(label="请填写需要datatable库处理的脚本(最终输出使用变量名py_exe)",lines=18) |
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d_output=gr.DataFrame(label="输出>") |
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d_button=gr.Button("开始编译>>") |
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d_button.click(fx_datatable, inputs=d_input, outputs=d_output,api_name='pyexe') |
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''' |
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with gr.TabItem("钉钉群消息推送"): |
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gr.Markdown("# 推送测试") |
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dd_input=[gr.Textbox(label="请填写机器人token"),gr.Textbox(label="请填写需要推送的信息",lines=10)] |
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dd_output=gr.Textbox(label="推送提示") |
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dd_button=gr.Button("提交") |
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dd_button.click(fx_dd, inputs=dd_input, outputs=dd_output,api_name='dingding_robot') |
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with gr.TabItem("钉钉ocr"): |
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gr.Markdown("# 网络图片OCR识别") |
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ocr_input=[gr.Textbox(label="请填写ocr_token"),gr.Textbox(label="请填写图片网址"),gr.Radio(["身份证","增值税发票","营业执照","银行卡","车牌","机动车发票","驾驶证","行驶证","火车票","定额发票","出租车发票","机票行程单","审批表单","花名册"],value="营业执照增值税发票",label="请选择识别类型:")] |
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ocr_button=gr.Button("开始识别>>") |
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ocr_output=gr.JSON(label="识别结果") |
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ocr_button.click(dd_ocr, inputs=ocr_input, outputs=ocr_output,api_name='dingding_ocr') |
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with gr.TabItem("datatable"): |
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gr.Markdown("# datatable测试") |
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dt_input=[gr.File(label="选择需要读取的文档",type='bytes'),gr.Number(label='请输入分组列序号'),gr.Number(label='请输入聚合列序号')] |
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dt_output=gr.DataFrame(label="输出",max_rows=10,wrap=True) |
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dt_button=gr.Button("分类汇总") |
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dt_button.click(fx_dt, inputs=dt_input, outputs=dt_output,api_name='datatable') |
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''' |
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with gr.TabItem("js"): |
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gr.Markdown("# js处理测试") |
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a=gr.Textbox(label='请输入需要js处理的字符串') |
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js_output=gr.Textbox(label="JS输出") |
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js_button1=gr.Button("js_test") |
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js_button2=gr.Button("js_test2") |
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js_button=gr.Button("js逆序字符串处理") |
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js_button3=gr.Button("调用js引用",elem_id="jsc") |
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js_button1.click(None,a,js_output,_js="x=>'你好:'+x") |
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js_button2.click(None,a,js_output,_js="x=>`你好:${x},欢迎吹水!`") |
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js_button.click(None,a,js_output,_js="(x) => [...x].reverse().join('')",api_name='js') |
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js_button3.click(None,a,js_output,_js='(x)=>md5(x);<script src="https://huggingface.co/spaces/changxin/test/raw/main/statics/md5.js"></script>') |
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demo.launch() |
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