feat(audio-conversion): add controller for Google Speech-to-Text API

app.js

@@ -10,22 +10,19 @@ const morgan = require('morgan')
 // const fileUpload = require('express-fileupload')
 
 const rateLimiter = require('express-rate-limit')
-const helmet = require('helmet')
-const xss = require('xss-clean')
-const cors = require('cors')
 
 // Swagger
 const swaggerUI = require('swagger-ui-express')
 const YAML = require('yamljs')
 const swaggerDocument = YAML.load('./swagger.yaml') 
 
-// database
+const helmet = require('helmet')
-const connectDB = require('./db/connect')
+const xss = require('xss-clean')
+const cors = require('cors')  
  
 // routers  
 const nlRouter = require('./routes/naturalLanguageRoute') 
 
-
 const notFoundMiddlware = require('./middleware/not-found')
 const errorHandlerMiddleware = require('./middleware/error-handler')
 
@@ -44,10 +41,8 @@ app.use(xss())
 app.use(morgan('tiny'))
 app.use(express.json())
  
-// app.use(express.static('./public'))
 // app.use(fileUpload())
 
-
 app.get('/', (req, res) => {
     res.send('<h1>Sentiment API</h1><a href="/api-docs">Documentation</a>')
 }) 

controllers/naturalLanguageController.js

@@ -1,8 +1,16 @@
 const { StatusCodes } = require("http-status-codes")
-const { sentiment, convertTextToSpeech, listVoice } = require("../utils")
+const { sentiment, convertTextToSpeech, listVoice, convertAudioToLinear16, getAudioDuration } = require("../utils")
 const language = require('@google-cloud/language').v2
 const CustomError = require('../errors')
 const voiceConfigList = require('../mockData/voice.json')
+const languageCodes = require('../mockData/languageCodes.json')
+const path = require('path')
+const fs = require('fs')
+const speech = require('@google-cloud/speech')
+const { speechToText, speechToTextJob } = require('../utils')
+const client = new speech.SpeechClient()
+const protobuf = require('protobufjs')
+
 
 const getSentiment = async (req, res) => {
 
@@ -48,9 +56,7 @@ const getAudioFromText = async (req, res) => {
 
     // Set the Content-Disposition header 
     // res.set("Content-Disposition", `attachment; filename="${filename}"`); 
-    res.set("Content-Disposition", `inline; filename="${filename}"`);
+    res.set("Content-Disposition", `inline; filename="${filename}"`)
-
-
 
     res.contentType('audio/mpeg')
 
@@ -58,6 +64,134 @@ const getAudioFromText = async (req, res) => {
 
 }
 
+const getTextFromAudio = async (req, res) => {
+
+    const { languageCode } = req.body
+
+    const audio = req.file
+
+    if (!audio)
+        throw new CustomError.BadRequestError(`Missing the audio file`)
+
+    if (languageCode) {
+        const existLanguageCode = languageCodes.find(l => l.languageCode == languageCode)
+
+        if (!existLanguageCode) {
+            fs.unlinkSync(audio.path)
+            throw new CustomError.BadRequestError(`Invalid language code`)
+        }
+
+    }
+    const inputFile = path.resolve(audio.path)
+
+    const fileName = path.basename(inputFile, path.extname(inputFile))
+
+    const outputFile = path.join(__dirname, '..', 'public', 'uploads', `${fileName}.wav`)
+
+    const filePath = await convertAudioToLinear16(inputFile, outputFile)
+
+    fs.unlinkSync(inputFile)
+
+    const obj = await speechToText(filePath, languageCode)
+
+    fs.unlinkSync(filePath)
+
+    if (obj?.transcription) return res.status(StatusCodes.OK).json({ transcription: obj.transcription })
+
+    res.status(obj.status).json({ msg: obj.msg })
+
+}
+
+const uploadAudioToTranscript = async (req, res) => {
+
+    const { languageCode } = req.body
+
+    const audio = req.file
+
+    if (!audio)
+        throw new CustomError.BadRequestError(`Missing the audio file`)
+
+    if (languageCode) {
+        const existLanguageCode = languageCodes.find(l => l.languageCode == languageCode)
+
+        if (!existLanguageCode) {
+            fs.unlinkSync(audio.path)
+            throw new CustomError.BadRequestError(`Invalid language code`)
+        }
+
+    }
+
+    const inputFile = path.resolve(audio.path)
+
+    const fileName = path.basename(inputFile, path.extname(inputFile))
+
+    const outputFile = path.join(__dirname, '..', 'public', 'uploads', `${fileName}.wav`)
+
+    const filePath = await convertAudioToLinear16(inputFile, outputFile)
+
+    fs.unlinkSync(inputFile)
+
+    const obj = await speechToTextJob(filePath, languageCode)
+
+    fs.unlinkSync(filePath)
+
+    if (obj?.operationName) return res.status(StatusCodes.OK).json({ operationId: obj.operationName })
+
+    res.status(obj.status).json({ msg: obj.msg })
+}
+
+const getJobStatus = async (req, res) => {
+
+    const { operationName } = req.query
+
+    if (!operationName)
+        throw new CustomError.BadRequestError(`Missing operationName query parameter`)
+
+    // Get the operation using the operationName 
+    const [response] = await client.getOperation({ name: operationName })
+
+    if (!response) {
+        return res.status(404).json({ msg: "Operation not found" })
+    }
+
+    if (response.done) {
+
+        // Load the protobuf message types
+        const root = new protobuf.Root()
+        root.loadSync(path.join(__dirname, '..', 'node_modules', 'google-proto-files', 'google', 'rpc', 'status.proto'), { keepCase: true })
+        root.loadSync(path.join(__dirname, '..', 'node_modules', 'google-proto-files', 'google', 'protobuf', 'duration.proto'), { keepCase: true })
+        root.loadSync(path.join(__dirname, '..', 'node_modules', 'google-proto-files', 'google', 'cloud', 'speech', 'v1', 'cloud_speech.proto'), { keepCase: true })
+
+        // Get the message type
+        const LongRunningRecognizeResponse = root.lookupType('google.cloud.speech.v1.LongRunningRecognizeResponse')
+
+        if (!response) {
+            return res.status(StatusCodes.NOT_FOUND).json({ msg: "Operation not found" })
+        }
+
+        // Decode the response value to get transcribed text
+        const longRunningResponse = LongRunningRecognizeResponse.decode(response.response.value)
+        if (longRunningResponse.error) {
+            console.error('Error:', longRunningResponse.error)
+            res.status(StatusCodes.INTERNAL_SERVER_ERROR).json({ msg: longRunningResponse.error })
+        } else {
+
+            const transcriptions = longRunningResponse.results.map(result => result.alternatives[0].transcript)
+
+            const fullTranscription = transcriptions.join(' ')
+
+            // console.log('Full Transcription:', fullTranscription)
+
+            res.status(StatusCodes.OK).json({ transcription: fullTranscription })
+
+        }
+
+    } else {
+        res.status(StatusCodes.ACCEPTED).json({ msg: "Transcription in progress" })
+    }
+
+}
+
 const getVoiceConfig = async (req, res) => {
 
     const { languageCode } = req.query
@@ -72,5 +206,8 @@ const getVoiceConfig = async (req, res) => {
 module.exports = {
     getSentiment,
     getAudioFromText,
-    getVoiceConfig
+    getTextFromAudio,
+    getVoiceConfig,
+    getJobStatus,
+    uploadAudioToTranscript
 }

mockData/languageCodes.json

@@ -0,0 +1,59 @@
+[
+  { "languageCode": "af-ZA" },
+  { "languageCode": "ar-XA" },
+  { "languageCode": "bg-BG" },
+  { "languageCode": "bn-IN" },
+  { "languageCode": "ca-ES" },
+  { "languageCode": "cmn-CN" },
+  { "languageCode": "cmn-TW" },
+  { "languageCode": "cs-CZ" },
+  { "languageCode": "da-DK" },
+  { "languageCode": "de-DE" },
+  { "languageCode": "el-GR" },
+  { "languageCode": "en-AU" },
+  { "languageCode": "en-GB" },
+  { "languageCode": "en-IN" },
+  { "languageCode": "en-US" },
+  { "languageCode": "es-ES" },
+  { "languageCode": "es-US" },
+  { "languageCode": "eu-ES" },
+  { "languageCode": "fi-FI" },
+  { "languageCode": "fil-PH" },
+  { "languageCode": "fr-CA" },
+  { "languageCode": "fr-FR" },
+  { "languageCode": "gl-ES" },
+  { "languageCode": "gu-IN" },
+  { "languageCode": "he-IL" },
+  { "languageCode": "hi-IN" },
+  { "languageCode": "hu-HU" },
+  { "languageCode": "id-ID" },
+  { "languageCode": "is-IS" },
+  { "languageCode": "it-IT" },
+  { "languageCode": "ja-JP" },
+  { "languageCode": "kn-IN" },
+  { "languageCode": "ko-KR" },
+  { "languageCode": "lt-LT" },
+  { "languageCode": "lv-LV" },
+  { "languageCode": "ml-IN" },
+  { "languageCode": "mr-IN" },
+  { "languageCode": "ms-MY" },
+  { "languageCode": "nb-NO" },
+  { "languageCode": "nl-BE" },
+  { "languageCode": "nl-NL" },
+  { "languageCode": "pa-IN" },
+  { "languageCode": "pl-PL" },
+  { "languageCode": "pt-BR" },
+  { "languageCode": "pt-PT" },
+  { "languageCode": "ro-RO" },
+  { "languageCode": "ru-RU" },
+  { "languageCode": "sk-SK" },
+  { "languageCode": "sr-RS" },
+  { "languageCode": "sv-SE" },
+  { "languageCode": "ta-IN" },
+  { "languageCode": "te-IN" },
+  { "languageCode": "th-TH" },
+  { "languageCode": "tr-TR" },
+  { "languageCode": "uk-UA" },
+  { "languageCode": "vi-VN" },
+  { "languageCode": "yue-HK" }
+]

package.json

@@ -11,6 +11,8 @@
   "license": "ISC",
   "dependencies": {
     "@google-cloud/language": "^6.1.0",
+    "@google-cloud/speech": "^6.0.2",
+    "@google-cloud/storage": "^7.4.0",
     "@google-cloud/text-to-speech": "^5.0.1",
     "bcryptjs": "^2.4.3",
     "cookie-parser": "^1.4.5",
@@ -21,14 +23,20 @@
     "express-fileupload": "^1.2.1",
     "express-mongo-sanitize": "^2.1.0",
     "express-rate-limit": "^5.4.1",
+    "fluent-ffmpeg": "^2.1.2",
+    "google-gax": "^4.0.5",
+    "google-proto-files": "^4.0.0",
+    "google-protobuf": "^3.21.2",
     "helmet": "^4.6.0",
     "http-status-codes": "^2.1.4",
     "joi": "^17.4.0",
     "mongoose": "^7.3.1",
     "morgan": "^1.10.0",
+    "multer": "^1.4.5-lts.1",
+    "protobufjs": "^7.2.5",
+    "swagger-ui-express": "^4.1.6",
     "validator": "^13.6.0",
     "xss-clean": "^0.1.1",
-    "swagger-ui-express": "^4.1.6",
     "yamljs": "^0.3.0"
   },
   "devDependencies": {

routes/naturalLanguageRoute.js

@@ -1,11 +1,14 @@
 const express = require('express')
 const router = express.Router()
 const { authorization, } = require('../middleware/authentication')
-
+const { audioUpload } = require("../utils")
-const { getSentiment, getAudioFromText, getVoiceConfig } = require('../controllers/naturalLanguageController')
+const { getSentiment, getAudioFromText, getTextFromAudio, getVoiceConfig, uploadAudioToTranscript, getJobStatus } = require('../controllers/naturalLanguageController')
 
 router.route('/sentiment').post(authorization, getSentiment)
 router.route('/text-to-speech').get(getAudioFromText)
+router.route('/speech-to-text').post(audioUpload.single('audio'), getTextFromAudio)
+router.route('/upload-audio-to-transcript').post(audioUpload.single('audio'), uploadAudioToTranscript)
+router.route('/query-job-status').get(getJobStatus)
 router.route('/voice-config').get(getVoiceConfig)
 
 module.exports = router

swagger.yaml

@@ -2,6 +2,7 @@ openapi: 3.0.0
 info:
   title: Natural Language API
   contact: {}
+  description: This API describes the endpoints and parameters to use resources from google cloud api.
   version: '1.0'
 servers:
 - url: http://localhost:6001/api/v1/nl/

utils/audioUpload.js

@@ -0,0 +1,25 @@
+const multer = require('multer')
+const path = require('path')
+
+//Destination to store the file
+const audioStorage = multer.diskStorage({
+    destination: function (req, file, cb) {
+        cb(null, `public/uploads`)
+    },
+    filename: function (req, file, cb) {
+        cb(null, Date.now() + String(Math.floor(Math.random() * 1000)) + path.extname(file.originalname))
+    }
+})
+
+const audioUpload = multer({
+    storage: audioStorage,
+    fileFilter(req, file, cb) {
+        if (!file.originalname.match(/\.(mp3|wav|ogg|flac|aac|wma|m4a|mp4|webm|opus|mpeg)$/i)) {
+            return cb(new Error('Invalid file type. Send only an audio file!'))
+        }
+        cb(undefined, true)
+    }
+
+})
+
+module.exports = audioUpload 

utils/audioUploadToBucket.js

@@ -0,0 +1,35 @@
+// Imports the Google Cloud client library
+const { Storage } = require('@google-cloud/storage')
+
+async function audioUploadToBucket(
+  bucketName,
+  filePath,
+  destFileName, 
+) {
+  // [START storage_upload_file] 
+
+  // Creates a client
+  const storage = new Storage()
+
+  async function uploadFile() {
+    const options = {
+      destination: destFileName, 
+    }
+
+    await storage.bucket(bucketName).upload(filePath, options)
+    console.log(`${filePath} uploaded to ${bucketName}`)
+  }
+ 
+  try {
+    await uploadFile()
+    return true
+  } catch (error) {
+    console.error(error)
+    return false
+  } 
+  // [END storage_upload_file]
+}
+
+ 
+
+module.exports = audioUploadToBucket

utils/convertAudioToLinear16.js

@@ -0,0 +1,16 @@
+const ffmpeg = require('fluent-ffmpeg')
+
+async function convertToLINEAR16(inputFile, outputFile) {
+    return new Promise((resolve, reject) => {
+        ffmpeg(inputFile)
+            .audioCodec('pcm_s16le') // Set the audio codec to LINEAR16
+            .audioFrequency(16000)   // Set the sample rate to 16,000 Hz
+            .audioChannels(1)
+            .on('end', () => resolve(outputFile))
+            .on('error', (err) => reject(err))
+            .save(outputFile)
+    })
+}
+
+module.exports = convertToLINEAR16
+ 

utils/getAudioDuration.js

@@ -0,0 +1,17 @@
+const ffmpeg = require('fluent-ffmpeg')
+
+async function getAudioDuration(filePath) {
+    return new Promise((resolve, reject) => {
+        ffmpeg.ffprobe(filePath, (err, metadata) => {
+            if (err) {
+                reject(err)
+            } else {
+                resolve(Math.round(metadata.format.duration))
+            }
+        })
+    })
+} 
+
+module.exports = getAudioDuration
+
+

utils/index.js

@@ -5,10 +5,21 @@
 const sentiment = require('./sentiment')
 const convertTextToSpeech = require('./textToSpeech')
 const listVoice = require('./listVoice')
+const convertAudioToLinear16 = require('./convertAudioToLinear16')
+const getAudioDuration = require('./getAudioDuration')
+const audioUploadToBucket = require('./audioUploadToBucket')
+const audioUpload = require('./audioUpload')
+const speechToText = require('./speechToText')
+const speechToTextJob = require('./speechToTextJob') 
 
 module.exports = {
     sentiment,
     convertTextToSpeech,
-    listVoice
+    listVoice,
+    convertAudioToLinear16,
+    getAudioDuration,
+    audioUploadToBucket,
+    audioUpload,
+    speechToText,
+    speechToTextJob
 }
- 

utils/speechToText.js

@@ -0,0 +1,67 @@
+// Imports the Google Cloud client library
+const speech = require('@google-cloud/speech')
+const { StatusCodes } = require("http-status-codes") 
+const path = require('path')
+const fs = require('fs')
+ const getAudioDuration = require('./getAudioDuration')
+const audioUploadToBucket = require('./audioUploadToBucket')
+
+async function speechToText(filename, languageCode = 'pt-Br', bucket = 'speect-to-text-bucket', sampleRateHertz = 16000, encoding = 'LINEAR16') {
+
+    const client = new speech.SpeechClient()
+
+    let audio
+
+    const config = {
+        encoding: encoding,
+        sampleRateHertz: sampleRateHertz,
+        languageCode: languageCode,
+    }
+
+    const seconds = await getAudioDuration(filename)
+
+    if (seconds >= 28800) {
+        return { msg: 'Audio file is higher than 480 minute', status: StatusCodes.BAD_REQUEST }
+    }
+    else if (seconds <= 59) {
+        audio = {
+            content: fs.readFileSync(filename).toString('base64'),
+        }
+    } else if (seconds >= 60) {
+        const uploaded = await audioUploadToBucket(bucket, filename, path.basename(filename))
+
+        if (uploaded) {
+            audio = {
+                uri: `gs://${bucket}/${path.basename(filename)}`,
+            }
+        }
+    }
+
+    if (!audio) return { msg: `Error on try upload the file to google cloud bucket(${bucket}) storage`, status: StatusCodes.INTERNAL_SERVER_ERROR }
+
+    const request = {
+        config: config,
+        audio: audio,
+    }
+
+    try {
+        // Detects speech in the audio file. This creates a recognition job that you
+        // can wait for now, or get its result later.
+        const [operation] = await client.longRunningRecognize(request)
+        // Get a Promise representation of the final result of the job
+        const [response] = await operation.promise()
+        const transcription = response.results
+            .map(result => result.alternatives[0].transcript)
+            .join('\n')
+        console.log(`Transcription: ${transcription}`)
+
+        return { msg: `Transcript success`, status: StatusCodes.OK, transcription }
+    } catch (error) {
+        console.log('ERROR ON TRY TRANSCRIPT: ', error)
+        return { msg: `Error on try transcript the file`, status: StatusCodes.INTERNAL_SERVER_ERROR }
+    }
+}
+
+module.exports = speechToText
+
+

utils/speechToTextJob.js

@@ -0,0 +1,64 @@
+// Imports the Google Cloud client library
+const speech = require('@google-cloud/speech')
+const path = require('path')
+const fs = require('fs')
+const getAudioDuration = require('./getAudioDuration')
+const audioUploadToBucket = require('./audioUploadToBucket') 
+const { StatusCodes } = require("http-status-codes")
+
+
+async function speechToTextJob(filename, languageCode = 'pt-Br', bucket = 'speect-to-text-bucket', sampleRateHertz = 16000, encoding = 'LINEAR16') {
+
+    const client = new speech.SpeechClient()
+
+    let audio
+
+    const config = {
+        encoding: encoding,
+        sampleRateHertz: sampleRateHertz,
+        languageCode: languageCode,
+    }
+
+    const seconds = await getAudioDuration(filename)
+
+    if (seconds >= 28800) {
+        return { msg: 'Audio file is higher than 480 minute', status: StatusCodes.BAD_REQUEST }
+    }
+    else if (seconds <= 59) {
+        audio = {
+            content: fs.readFileSync(filename).toString('base64'),
+        }
+    } else if (seconds >= 60) {
+        const uploaded = await audioUploadToBucket(bucket, filename, path.basename(filename))
+
+        if (uploaded) {
+            audio = {
+                uri: `gs://${bucket}/${path.basename(filename)}`,
+            }
+        }
+    }
+
+    if (!audio) return { msg: `Error on try upload the file to google cloud bucket(${bucket}) storage`, status: StatusCodes.INTERNAL_SERVER_ERROR }
+
+    const request = {
+        config: config,
+        audio: audio,
+    }
+
+    try {
+        // Detects speech in the audio file. This creates a recognition job that you
+        // can wait for now, or get its result later.
+        const [operation] = await client.longRunningRecognize(request)
+
+        console.log('===========> operationName: ', operation.name)
+
+        return { msg: `success`, status: StatusCodes.OK, operationName: operation.name }
+    } catch (error) {
+        console.log('ERROR ON TRY TRANSCRIPT: ', error)
+        return { msg: `Error on try transcript the file`, status: StatusCodes.INTERNAL_SERVER_ERROR }
+    }
+}
+
+module.exports = speechToTextJob
+
+