微信会话语音文件的一句话识别

"cloudfunctionRoot": "cloud/",

"tencentcloud-sdk-nodejs": "latest",

// 云函数入口文件
const cloud = require('wx-server-sdk')  // 引入云开发服务的内核SDK

cloud.init(   //初始化一个'wx-server-sdk' SDK 实例
{
  env: 'ai-test-t7t64'   // 开通云开发服务后创建的云环境的环境ID（默认可以创建两个ID）
}
)

// 云函数入口函数
exports.main = async (event, context) => {
   
const tencentcloud = require("tencentcloud-sdk-nodejs");  //引入腾讯云SDK

// 下面的代码可以通过explorer在线生成（https://console.cloud.tencent.com/api/explorer?Product=aai&Version=2018-05-22&Action=SentenceRecognition&SignVersion=）
const AaiClient = tencentcloud.aai.v20180522.Client;
const models = tencentcloud.aai.v20180522.Models;

const Credential = tencentcloud.common.Credential;
const ClientProfile = tencentcloud.common.ClientProfile;
const HttpProfile = tencentcloud.common.HttpProfile;

let cred = new Credential("", "");
let httpProfile = new HttpProfile();
httpProfile.endpoint = "aai.tencentcloudapi.com";
let clientProfile = new ClientProfile();
clientProfile.httpProfile = httpProfile;
let client = new AaiClient(cred, "ap-guangzhou", clientProfile);

let req = new models.SentenceRecognitionRequest();
let url=event.url   //接收客户端post的url参数，值类型为Url
var params =  {"ProjectId":0,"SubServiceType":2,"EngSerViceType":"16k_zh","SourceType":0,"VoiceFormat":"mp3","UsrAudioKey":"www","Url":url}  // 定义SDK的请求参数字典
params = JSON.stringify(params)   // 转换为json字符串
req.from_json_string(params);
return new Promise((resolve, reject) => {   // 通过Promise容器来接收异步API的回调，然后通过当前脚本返回给客户端
  client.SentenceRecognition(req, function(errMsg, response)  {  // 此接口是异步的，那么当前脚本无法对外直接访问接口返回值
    if (errMsg) {
      resolve({ "Result": errMsg })
    }
    // resp = response.to_json_string()
    resolve({ "Result": response})
});
})
}

"pages/word/word",

 <button type="primary" bindtap="uploadRecord">上传微信会话文件</button>

 <textarea placeholder="一句话识别结果" auto-focus value="{{ Words }}" />

Page({
  /**定义一些逻辑数据 */
   data:{
     tempVoicePaths:"", //录音文件的本地临时文件
     fileID:"", //录音文件上传至云存储中后生成的文件ID
     tempUrl:"",//云存储提供的录音文件临时url
   },
 
  /**将录音文件的Url上传至服务端进行识别，获取到识别任务的ID */
   uploadRecord:function(e){
     var that=this;
     wx.chooseMessageFile({
       count: 10,
       type: 'all',
       success (res) {
         // tempFilePath可以作为img标签的src属性显示图片
         console.log("会话中选择的音频文件在微信客户端的临时路径"+res.tempFiles[0].path)
         that.setData({
           tempVoicePaths: res.tempFiles[0].path
         })
 
       wx.cloud.init()
       var cloudPath = Date.parse(new Date())/1000;
       cloudPath = cloudPath / 1000;
       cloudPath=cloudPath.toString();
       wx.cloud.uploadFile({
       cloudPath: cloudPath, // 上传至云端的路径
       filePath: that.data.tempVoicePaths, // 小程序临时文件路径
       success: res => {
         // 返回文件 ID
         console.log("将音频文件上传到云存储后，返回的文件ID是"+res.fileID)
         wx.cloud.init()
         wx.cloud.getTempFileURL({
           fileList: [res.fileID],
           success: res => {
            console.log("通过文件ID从云存储获取到的音频文件的临时url是:")
             console.log(res.fileList[0].tempFileURL)
             that.setData({
              tempUrl: res.fileList[0].tempFileURL
            })
            wx.cloud.callFunction({  // 调用云函数
              // 云函数名称
              name: 'wordRecognize',  // 调用的云函数的名称
              // 传给云函数的参数
              data: {
                url:that.data.tempUrl
              },
              success: function(res) {
                console.log(res)
                that.setData({  // 发送数据到视图层
                  Words: res.result.Result.Result
                })
              },
              fail: console.error
            })
           },
           fail: err => {
             // handle error
           }
         })
       },
       fail: console.error
     })
       }
     })
     
   }
 })