remove google cloud client from background

testAudio.js

@@ -1,71 +1,40 @@
 const fs = require('fs');
-// const portAudio = require('naudiodon');
-// Imports the Google Cloud client library
 const speech = require('@google-cloud/speech');
 const portAudio = require('naudiodon');
-
-// Create a stream to pipe into the AudioOutput
-// Note that this does not strip the WAV header so a click will be heard at the beginning
 const rs = fs.createReadStream('rawAudio.wav');
 const WebSocket = require("ws")
-// Start piping data and start streaming
 const {Writable} = require('stream');
-const ws = new WebSocket("ws://localhost:8080");
-//const duplex = WebSocket.createWebSocketStream(ws, { encoding: 'binary' });
-
-const audioChunks = [];
-const audioInputStreamTransform = new Writable({
-  write(chunk, encoding, next) {
-    console.log(chunk)
-    // ws send chunk
-    // audioChunks.push(chunk);
-    // ws.send(chunk)
-    next();
-  },
-
-  final() {
-    console.log(audioChunks)
-    // ws.send("stop")
-    // stop ws transer
-  },
-});
-
 
 // Creates a client
 const client = new speech.SpeechClient();
 
-/**
- * TODO(developer): Uncomment the following lines before running the sample.
- */
-const filename = './rawAudio.wav';
+// connect to test server
+const ws = new WebSocket("ws://localhost:8080");
+
+// google cloud speech to text settings
 const encoding = 'LINEAR16';
 const sampleRateHertz = 44100;
 const languageCode = 'en-US';
 
+const audioChunks = [];
+
+const audioInputStreamTransform = new Writable({
+  write(chunk, encoding, next) {
+    console.log(chunk);
+    audioChunks.push(chunk);
+    next();
+  },
+
+  final() {
+    console.log(audioChunks);
+  },
+});
+
 const config = {
   encoding: encoding,
   sampleRateHertz: sampleRateHertz,
   languageCode: languageCode,
 };
-const audio = {
-  content: fs.readFileSync(filename).toString('base64'),
-};
-
-// const request = {
-//   config: config,
-//   audio: audio,
-// };
-
-// Detects speech in the audio file
-async function test() {
-  const [response] = await client.recognize(request);
-  const transcription = response.results
-    .map(result => result.alternatives[0].transcript)
-    .join('\n');
-  console.log('Transcription: ', transcription);
-}
-
-// test();
 
 const request = {
   config,
@@ -75,7 +44,7 @@ const request = {
 const speechCallback = (data) => {
   console.log(
       `Transcription: ${data.results[0].alternatives[0].transcript}`
-    )
+    );
 }
 
 const recognizeStream = client
@@ -90,7 +59,7 @@ const recognizeStream = client
 .on('data', speechCallback);
 
 // Create an instance of AudioIO with inOptions (defaults are as below), which will return a ReadableStream
-const audioOptions = {
+const recorderOptions = {
   channelCount: 1,
   sampleFormat: portAudio.sampleFormat16Bit,
   sampleRate: 16000,
@@ -98,13 +67,16 @@ const audioOptions = {
   closeOnError: false // Close the stream if an audio error is detected, if set false then just log the error
 }
 
-const audioData = [];
 const ai = new portAudio.AudioIO({
-  inOptions: audioOptions
+  inOptions: recorderOptions
 });
+
+// manipulate individual chunks as they're available
+// const audioData = [];
 // ai.on('data', (d) => {
 //   audioData.push(d.toString('binary'))
 // })
+
 ai.pipe(audioInputStreamTransform)
 ai.start();
 setTimeout(() => {