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import gradio as gr |
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import hashlib |
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import tempfile |
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import requests |
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import pandas as pd |
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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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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(s:str): |
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a=exec(s) |
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return {k: v for k, v in locals().items() if isinstance(v,pd.DataFrame)} |
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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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demo=gr.Blocks() |
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with demo: |
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with gr.Tabs(): |
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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",default="你好吗?我很好。") |
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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",default="let a=1,b=2 in a+b",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",default="扯淡=CALCULATE(VALUES('价格表'[单价]),FILTER('价格表','价格表'[产品]='销售表'[产品]))",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",lines=18) |
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d_output=gr.JSON(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='datatable') |
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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') |
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demo.launch() |
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