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<html lang="en"> | |
<head> | |
<meta charset="UTF-8"> | |
<title>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"> | |
<!-- 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 Generation</h4> | |
</div> | |
<!-- Actual Content of this page --> | |
<div id="text-generation-container" class="container mt-4"> | |
<h5>Text Generation with Xenova/distilgpt2 (Default Settings):</h5> | |
<div class="d-flex align-items-center"> | |
<label for="generationText" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter Text to | |
Generate:</label> | |
<input type="text" class="form-control flex-grow-1" id="generationText" | |
value="I enjoy walking with my cute dog," 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-generation-container2" class="container mt-4"> | |
<h5>Text Generation with Xenova/distilgpt2 (Custom Settings):</h5> | |
<div class="d-flex align-items-center"> | |
<label for="generationText2" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter Text to | |
Generate:</label> | |
<input type="text" class="form-control flex-grow-1" id="generationText2" | |
value="Once upon a time, there was" 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> | |
<hr> <!-- Line Separator --> | |
<div id="code-generation-container" class="container mt-4"> | |
<h5>Code Generation with Xenova/codegen-350M-mono:</h5> | |
<div class="d-flex align-items-center"> | |
<label for="generationCode" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter code to | |
Generate:</label> | |
<input type="text" class="form-control flex-grow-1" id="generationCode" | |
value="def fib(n):" placeholder="Enter code" | |
style="margin-right: 15px; margin-left: 15px;"> | |
<button id="generateCodeButton" class="btn btn-primary" onclick="generateCode()">Generate Code</button> | |
</div> | |
<div class="mt-4"> | |
<h4>Output:</h4> | |
<pre id="outputAreaCode"></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; | |
let code_generator; | |
// Initialize the sentiment analysis model | |
async function initializeModel() { | |
generator = await pipeline('text-generation', 'Xenova/distilgpt2'); | |
code_generator = await pipeline('text-generation', 'Xenova/codegen-350M-mono'); | |
} | |
async function generateText() { | |
const textFieldValue = document.getElementById("generationText").value.trim(); | |
const result = await generator(textFieldValue); | |
document.getElementById("outputArea").innerText = JSON.stringify(result, null, 2); | |
} | |
async function generateText2() { | |
const textFieldValue = document.getElementById("generationText2").value.trim(); | |
const result = await generator(textFieldValue, { | |
temperature: 2, | |
max_new_tokens: 20, | |
repetition_penalty: 1.5, | |
no_repeat_ngram_size: 2, | |
num_beams: 2, | |
num_return_sequences: 3, | |
}); | |
document.getElementById("outputArea2").innerText = JSON.stringify(result, null, 2); | |
} | |
async function generateCode() { | |
const textFieldValue = document.getElementById("generationCode").value.trim(); | |
const result = await code_generator(textFieldValue); | |
document.getElementById("outputAreaCode").innerText = JSON.stringify(result, null, 2); | |
} | |
// Initialize the model after the DOM is completely loaded | |
window.addEventListener("DOMContentLoaded", initializeModel); | |
</script> | |
</body> | |
</html> |