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

	<head>
	<meta charset="UTF-8">
	<title>Text-to-text Generation - Hugging Face Transformers.js</title>

	<script type="module">
	// Import the library
	import { pipeline } from 'https://cdn.jsdelivr.net/npm/@xenova/[email protected]';

	// Make it available globally
	window.pipeline = pipeline;
	</script>

	<link href="https://cdn.jsdelivr.net/npm/[email protected]/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>Text-to-text Generation</h4>
	</div>

	<!-- Actual Content of this page -->
	<div id="text-to-text-generation-container" class="container mt-4">
	<h5>Text-to-text generation w/ Xenova/LaMini-Flan-T5-783M:</h5>
	<div class="d-flex align-items-center">
	<label for="text-to-textGenerationText" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter
	input text sequence:</label>
	<input type="text" class="form-control flex-grow-1" id="text-to-textGenerationText"
	value="how can I become more healthy?" placeholder="Enter text"
	style="margin-right: 15px; margin-left: 15px;">
	<button id="generateButton" class="btn btn-primary" onclick="generateText()">Generate</button>
	</div>
	<div class="mt-4">
	<h4>Output:</h4>
	<pre id="outputArea"></pre>
	</div>
	</div>

	<hr> <!-- Line Separator -->

	<div id="text-to-text-generation-container2" class="container mt-4">
	<h5>Generate a Poem Using LaMini-Flan-T5-783M:</h5>
	<div class="d-flex align-items-center">
	<label for="text-to-textGenerationText2" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter
	Poem to
	Generate:</label>
	<input type="text" class="form-control flex-grow-1" id="text-to-textGenerationText2"
	value="Write me a love poem about cheese." placeholder="Enter text"
	style="margin-right: 15px; margin-left: 15px;">
	<button id="generateButton2" class="btn btn-primary" onclick="generateText2()">Generate</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>

	let generator;

	// Initialize the sentiment analysis model
	async function initializeModel() {
	generator = await pipeline('text2text-generation', 'Xenova/LaMini-Flan-T5-783M');

	}

	async function generateText() {
	const textFieldValue = document.getElementById("text-to-textGenerationText").value.trim();

	const result = await generator(textFieldValue, {
	max_new_tokens: 100,
	});

	document.getElementById("outputArea").innerText = JSON.stringify(result, null, 2);
	}

	async function generateText2() {
	const textFieldValue = document.getElementById("text-to-textGenerationText2").value.trim();

	const result = await generator(textFieldValue, {
	// To-Do: generator 객체에 temperature 파라미터 값을 지정하십시오.
	const result = await generator(textFieldValue, {
	max_new_tokens: 200,
	temperature: 0.9,
	repetition_penalty: 2.0,
	no_repeat_ngram_size: 3,
	// top_k: 20,
	// do_sample: true,
	});
	// To-Do: result의 값을 stringd으로 변환하여 outputArea2에 출력하십시오.
	// 힌트: document.getElementById("outputArea2") 사용
	document.getElementById("outputArea2").innerText = `Current Date: ${currentDate}\nCurrent Time: ${currentTime}\n\n${JSON.stringify(result, null, 2)}`;


	}

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

	</html>