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<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"> | |
<!-- Page Header --> | |
<div class="header"> | |
<div class="header-logo"> | |
<img src="images/logo.png" alt="logo"> | |
</div> | |
<div class="header-main-text"> | |
<h1>Hugging Face Transformers.js</h1> | |
</div> | |
<div class="header-sub-text"> | |
<h3>Free AI Models for JavaScript Web Development</h3> | |
</div> | |
</div> | |
<hr> <!-- Separator --> | |
<!-- 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, { | |
max_new_tokens: 200, | |
temperature: 0.9, | |
repetition_penalty: 2.0, | |
no_repeat_ngram_size: 3, | |
// top_k: 20, | |
// do_sample: true, | |
}); | |
document.getElementById("outputArea2").innerText = JSON.stringify(result, null, 2); | |
} | |
// Initialize the model after the DOM is completely loaded | |
window.addEventListener("DOMContentLoaded", initializeModel); | |
</script> | |
</body> | |
</html> |