How to use the @google-cloud/video-intelligence.v1p2beta1.VideoIntelligenceServiceClient function in @google-cloud/video-intelligence

async function analyzeObjectTrackingGCS(gcsUri) {
  //[START video_object_tracking_gcs_beta]
  // Imports the Google Cloud Video Intelligence library
  const Video = require('@google-cloud/video-intelligence').v1p2beta1;

  // Creates a client
  const video = new Video.VideoIntelligenceServiceClient();

  /**
   * TODO(developer): Uncomment the following line before running the sample.
   */
  // const gcsUri = 'GCS URI of the video to analyze, e.g. gs://my-bucket/my-video.mp4';

  const request = {
    inputUri: gcsUri,
    features: ['OBJECT_TRACKING'],
    //recommended to use us-east1 for the best latency due to different types of processors used in this region and others
    locationId: 'us-east1',
  };
  // Detects objects in a video
  const [operation] = await video.annotateVideo(request);
  const results = await operation.promise();
  console.log('Waiting for operation to complete...');

async function analyzeTextGCS(gcsUri) {
  //[START video_detect_text_gcs_beta]
  // Imports the Google Cloud Video Intelligence library
  const Video = require('@google-cloud/video-intelligence').v1p2beta1;
  // Creates a client
  const video = new Video.VideoIntelligenceServiceClient();

  /**
   * TODO(developer): Uncomment the following line before running the sample.
   */
  // const gcsUri = 'GCS URI of the video to analyze, e.g. gs://my-bucket/my-video.mp4';

  const request = {
    inputUri: gcsUri,
    features: ['TEXT_DETECTION'],
  };
  // Detects text in a video
  const [operation] = await video.annotateVideo(request);
  const results = await operation.promise();
  console.log('Waiting for operation to complete...');
  // Gets annotations for video
  const textAnnotations = results[0].annotationResults[0].textAnnotations;

async function analyzeText(path) {
  //[START video_detect_text_beta]
  // Imports the Google Cloud Video Intelligence library + Node's fs library
  const Video = require('@google-cloud/video-intelligence').v1p2beta1;
  const fs = require('fs');
  const util = require('util');
  // Creates a client
  const video = new Video.VideoIntelligenceServiceClient();

  /**
   * TODO(developer): Uncomment the following line before running the sample.
   */
  // const path = 'Local file to analyze, e.g. ./my-file.mp4';

  // Reads a local video file and converts it to base64
  const file = await util.promisify(fs.readFile)(path);
  const inputContent = file.toString('base64');

  const request = {
    inputContent: inputContent,
    features: ['TEXT_DETECTION'],
  };
  // Detects text in a video
  const [operation] = await video.annotateVideo(request);

async function analyzeObjectTracking(path) {
  //[START video_object_tracking_beta]
  // Imports the Google Cloud Video Intelligence library
  const Video = require('@google-cloud/video-intelligence').v1p2beta1;
  const fs = require('fs');
  const util = require('util');
  // Creates a client
  const video = new Video.VideoIntelligenceServiceClient();
  /**
   * TODO(developer): Uncomment the following line before running the sample.
   */
  // const path = 'Local file to analyze, e.g. ./my-file.mp4';

  // Reads a local video file and converts it to base64
  const file = await util.promisify(fs.readFile)(path);
  const inputContent = file.toString('base64');

  const request = {
    inputContent: inputContent,
    features: ['OBJECT_TRACKING'],
    //recommended to use us-east1 for the best latency due to different types of processors used in this region and others
    locationId: 'us-east1',
  };
  // Detects objects in a video