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Update translation.html

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	<!DOCTYPE html>
	<html lang="en">

	<head>
	<meta charset="UTF-8">
	<title>Translation - huggingface.js</title>
	<!--
	<script type="module">
	// Import the library
	//import { pipeline } from 'https://cdn.jsdelivr.net/npm/@xenova/transformers@2.5.4';

	// Make it available globally
	//window.pipeline = pipeline;
	</script>
	-->
	<link href="https://cdn.jsdelivr.net/npm/bootstrap@5.1.0/dist/css/bootstrap.min.css" rel="stylesheet">
	<link rel="stylesheet" href="css/styles.css">
	</head>

	<body>
	<div class="container-main">

	<!-- Back to Home button -->
	<div class="row mt-5">
	<div class="col-md-12 text-center">
	<a href="index.html" class="btn btn-outline-secondary"
	style="color: #3c650b; border-color: #3c650b;">Back to Main Page</a>
	</div>
	</div>

	<!-- Content -->
	<div class="container mt-5">
	<!-- Centered Titles -->
	<div class="text-center">
	<h2>Natural Language Processing</h2>
	<h4>Translation</h4>
	</div>

	<!-- Actual Content of this page -->

	<div id="translation-container" class="container mt-4">
	<h5>Multilingual Translation w/ Xenova/m2m100_418M:</h5>
	<div class="d-flex align-items-center">
	<label for="translationText2" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter Text to
	Translate:</label>
	<input type="text" class="form-control flex-grow-1" id="translationText2" value="My name is Wolfgang and I live in Amsterdam"
	placeholder="Enter text" style="margin-right: 15px; margin-left: 15px;">
	<button id="translateButton2" class="btn btn-primary" onclick="translateText()">Translate</button>
	</div>
	<div class="mt-4">
	<h4>Output:</h4>
	<pre id="outputArea2"></pre>
	</div>
	</div>

	<!-- Back to Home button -->
	<div class="row mt-5">
	<div class="col-md-12 text-center">
	<a href="index.html" class="btn btn-outline-secondary"
	style="color: #3c650b; border-color: #3c650b;">Back to Main Page</a>
	</div>
	</div>
	</div>
	</div>

	<script type="module">
	import { HfInference } from 'https://cdn.jsdelivr.net/npm/@huggingface/inference@2.6.4/+esm';

	// Initialize the sentiment analysis model
	async function initializeModel() {
	const token = document.getElementById('hf-token').value;
	const hf = new HfInference(token);
	}

	async function translateText() {
	const textFieldValue = document.getElementById("translationText").value.trim();

	let result = await hf.translation({
	model: 't5-base',
	inputs: textFieldValue,
	});
	document.getElementById("outputArea2").innerText = JSON.stringify(result, null, 2);
	}


	/*
	document.getElementById('hf-form').addEventListener('submit', async (event) => {
	event.preventDefault();



	// You can also omit "model" to use the recommended model for the task
	let result = await hf.translation({
	model: 't5-base',
	inputs: textFieldValue,
	document.getElementById("outputArea2").innerText = JSON.stringify(result, null, 2);
	});

	console.log(result);
	});

	*/
	// Initialize the model after the DOM is completely loaded
	window.addEventListener("DOMContentLoaded", initializeModel);
	</script>
	</body>

	</html>