Update app.py

app.py

@@ -69,10 +69,8 @@ def fx_dt(dc,x,y):
     gr.JSON(DT.names)
     D_table=DT[:,sum(f[int(y-1)]),by(f[int(x-1)])]
     return D_table.to_pandas()
-'''    
-demo=gr.Blocks(css="#jsc:hover{background-color: red;}")
-with demo:
-    with gr.Tabs(selected=5):
+'''  
+
 '''
         with gr.TabItem("测试1"):
             with gr.Column():
@@ -85,8 +83,31 @@ with demo:
                 gr.Markdown("# TTS文本字符串转语音合成训练")
                 TTS_input=gr.Textbox(label="输入文本") 
                 TTS_button=gr.Button("合成")
-                TTS_button.click(inference, inputs=TTS_input, outputs=gr.Audio(label="输出合成结果"),api_name='tts')'''
-                
+                TTS_button.click(inference, inputs=TTS_input, outputs=gr.Audio(label="输出合成结果"),api_name='tts')          
+        with gr.TabItem("钉钉群消息推送"):
+            gr.Markdown("# 推送测试")
+            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)]
+            dd_output=gr.Textbox(label="推送提示") 
+            dd_button=gr.Button("提交")
+            dd_button.click(fx_dd, inputs=dd_input, outputs=dd_output,api_name='dingding_robot')
+            
+        with gr.TabItem("钉钉ocr"):
+            gr.Markdown("# 网络图片OCR识别")
+            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：")]
+            ocr_button=gr.Button("开始识别>>")
+            ocr_output=gr.JSON(label="识别结果") 
+            ocr_button.click(dd_ocr, inputs=ocr_input, outputs=ocr_output,api_name='dingding_ocr')
+            
+        with gr.TabItem("datatable"):
+            gr.Markdown("# datatable测试")
+            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')]
+            dt_output=gr.DataFrame(label="输出",max_rows=10,wrap=True) 
+            dt_button=gr.Button("分类汇总")
+            dt_button.click(fx_dt, inputs=dt_input, outputs=dt_output,api_name='datatable')
+'''  
+demo=gr.Blocks(css="#jsc:hover{background-color: red;}")
+with demo:
+    with gr.Tabs(selected=5):                
         with gr.TabItem("M-Formatter"):
             gr.Markdown("# PowerQuery M语言脚本格式化测试")
             M_input=gr.Textbox(label="请填写需要格式化的M脚本",lines=18)
@@ -108,28 +129,7 @@ with demo:
             d_output=gr.DataFrame(label="输出>") 
             d_button=gr.Button("开始编译>>")
             d_button.click(fx_datatable, inputs=d_input, outputs=d_output,api_name='pyexe')
-'''          
-        with gr.TabItem("钉钉群消息推送"):
-            gr.Markdown("# 推送测试")
-            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)]
-            dd_output=gr.Textbox(label="推送提示") 
-            dd_button=gr.Button("提交")
-            dd_button.click(fx_dd, inputs=dd_input, outputs=dd_output,api_name='dingding_robot')
-            
-        with gr.TabItem("钉钉ocr"):
-            gr.Markdown("# 网络图片OCR识别")
-            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：")]
-            ocr_button=gr.Button("开始识别>>")
-            ocr_output=gr.JSON(label="识别结果") 
-            ocr_button.click(dd_ocr, inputs=ocr_input, outputs=ocr_output,api_name='dingding_ocr')
             
-        with gr.TabItem("datatable"):
-            gr.Markdown("# datatable测试")
-            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')]
-            dt_output=gr.DataFrame(label="输出",max_rows=10,wrap=True) 
-            dt_button=gr.Button("分类汇总")
-            dt_button.click(fx_dt, inputs=dt_input, outputs=dt_output,api_name='datatable')
-'''            
         with gr.TabItem("js"):
             gr.Markdown("# js处理测试")
             a=gr.Textbox(label='请输入需要js处理的字符串')