Function streamingDetectIntent

dialogflow/detect.js:243–351

(
  projectId,
  sessionId,
  filename,
  encoding,
  sampleRateHertz,
  languageCode
)

}

async function streamingDetectIntent(
  projectId,
  sessionId,
  filename,
  encoding,
  sampleRateHertz,
  languageCode
) {
  // [START dialogflow_detect_intent_streaming]
  const fs = require('fs');
  const util = require('util');
  const {Transform, pipeline} = require('stream');
  const {struct} = require('pb-util');

  const pump = util.promisify(pipeline);
  // Imports the Dialogflow library
  const dialogflow = require('@google-cloud/dialogflow');

  // Instantiates a session client
  const sessionClient = new dialogflow.SessionsClient();

  // The path to the local file on which to perform speech recognition, e.g.
  // /path/to/audio.raw const filename = '/path/to/audio.raw';

  // The encoding of the audio file, e.g. 'AUDIO_ENCODING_LINEAR_16'
  // const encoding = 'AUDIO_ENCODING_LINEAR_16';

  // The sample rate of the audio file in hertz, e.g. 16000
  // const sampleRateHertz = 16000;

  // The BCP-47 language code to use, e.g. 'en-US'
  // const languageCode = 'en-US';
  const sessionPath = sessionClient.projectAgentSessionPath(
    projectId,
    sessionId
  );

  const initialStreamRequest = {
    session: sessionPath,
    queryInput: {
      audioConfig: {
        audioEncoding: encoding,
        sampleRateHertz: sampleRateHertz,
        languageCode: languageCode,
      },
    },
  };

  // Create a stream for the streaming request.
  const detectStream = sessionClient
    .streamingDetectIntent()
    .on('error', console.error)
    .on('data', data => {
      if (data.recognitionResult) {
        console.log(
          `Intermediate transcript: ${data.recognitionResult.transcript}`
        );
      } else {