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<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;
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<div class="header">
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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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<h2>Natural Language Processing</h2>
<h4>Text-to-text Generation</h4>
</div>
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<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>
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<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>
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