Google Automl Vision: Using a trained tfjs model in NodeJS to classify an image (full working example)

automl-vision-node.js

const tf	= require("@tensorflow/tfjs-node");
const automl	= require("@tensorflow/tfjs-automl");

// Tensorflow Inference
var tfInference = {
	loadDictionary:	function(modelUrl) {
		const lastIndexOfSlash	= modelUrl.lastIndexOf("/");
		const prefixUrl			= lastIndexOfSlash >= 0 ? modelUrl.slice(0, lastIndexOfSlash + 1) : "";
		const dictUrl			= path.normalize(path.dirname(modelUrl)+'/dict.txt');
		const text				= fs.readFileSync(dictUrl, { encoding: "utf-8" });
		return text.trim().split("\n");
	},

	loadImageClassification:	async function(modelUrl) {
		const [model, dict]	= await Promise.all([
			tf.loadGraphModel('file://'+modelUrl), tfInference.loadDictionary(modelUrl)
		]);
		return new automl.ImageClassificationModel(model, dict);
	},

	decodeImage:	function(imgPath) {
		const imgSrc	= fs.readFileSync(imgPath);
		const arrByte	= Uint8Array.from(Buffer.from(imgSrc));
		return tf.node.decodeImage(arrByte);
	},

	init:	async function (modelFilename) {
		tfInference.model	= await tfInference.loadImageClassification(modelFilename);

		return tfInference.model;
	},

	classify:	async function (model, imgFilename) {
		const decodedImage	= tfInference.decodeImage(imgFilename);
		return await model.classify(decodedImage);
	}
};

// Init the model
tfInference.init(path.normalize(__dirname+"/model.json")).then(function(model) {
	// Get the classification for an image
	tfInference.classify(model, path.normalize(__dirname+"/test.jpg")).then(function(response) {
		console.log("Classification: ", response);
	});
});

I am getting below error any idea whats wrong

The kernel 'undefined' for backend 'cpu' is already registered
The kernel 'undefined' for backend 'cpu' is already registered
2021-05-03 15:11:09.697077: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
/Users/ayan.barman/Documents/Node/Tensorflow/node_modules/@tensorflow/tfjs-automl/dist/index.js:18
export { ImageClassificationModel, loadImageClassification } from './img_classification';
^^^^^^

SyntaxError: Unexpected token 'export'
at Object.compileFunction (node:vm:355:18)
at wrapSafe (node:internal/modules/cjs/loader:1038:15)
at Module._compile (node:internal/modules/cjs/loader:1072:27)
at Object.Module._extensions..js (node:internal/modules/cjs/loader:1137:10)
at Module.load (node:internal/modules/cjs/loader:988:32)
at Function.Module._load (node:internal/modules/cjs/loader:828:14)
at Module.require (node:internal/modules/cjs/loader:1012:19)
at require (node:internal/modules/cjs/helpers:93:18)
at Object. (/Users/ayan.barman/Documents/Node/Tensorflow/tfautoml.js:2:16)
at Module._compile (node:internal/modules/cjs/loader:1108:14)

thanks!