<!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/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>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>
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<div class="row mt-5">
<div class="col-md-12 text-center">
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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.
});
// To-Do: result의 값을 stringd으로 변환하여 outputArea2에 출력하십시오.
// 힌트: document.getElementById("outputArea2") 사용
}
// Initialize the model after the DOM is completely loaded
window.addEventListener("DOMContentLoaded", initializeModel);
</script>
</body>
</html>