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<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>
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<img src="images/logo.png" alt="logo">
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<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>
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<div class="container mt-5">
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<h2>Natural Language Processing</h2>
<h4>Text Generation</h4>
</div>
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<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>
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<div class="col-md-12 text-center">
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</div>
</div>
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<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>
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