huggingfaceDemo / src-bk /sentiments.html
boazchung's picture
Rename sentiments.html to src-bk/sentiments.html
3cc1f58 verified
raw
history blame
9.53 kB
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>Sentiment Analysis - 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>Sentiment Analysis (Text Classification)</h4>
</div>
<!-- Actual Content of this page -->
<div id="sentiment-analyzer-container" class="container mt-4">
<h5>Single Input:</h5>
<div class="d-flex align-items-center">
<label for="sentimentText" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter Text to
Analyze:</label>
<input type="text" class="form-control flex-grow-1" id="sentimentText" value="I love transformers!"
placeholder="Enter text" style="margin-right: 15px; margin-left: 15px;">
<button id="analyzeButton" class="btn btn-primary" onclick="analyzeSentiment()">Analyze</button>
</div>
<div class="mt-4">
<h4>Output:</h4>
<pre id="outputArea"></pre>
</div>
</div>
<hr> <!-- Line Separator -->
<div id="sentiment-analyzer-container2" class="container mt-4">
<h5>Multiple Inputs:</h5>
<div class="d-flex align-items-center mb-2">
<label for="sentimentText1" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter Text to
Analyze 1:</label>
<input type="text" class="form-control flex-grow-1" id="sentimentText1" value="I love transformers!"
placeholder="Enter text" style="margin-right: 15px; margin-left: 15px;">
</div>
<div class="d-flex align-items-center">
<label for="sentimentText2" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter Text to
Analyze 2:</label>
<input type="text" class="form-control flex-grow-1" id="sentimentText2" value="I hate transformers!"
placeholder="Enter text" style="margin-right: 15px; margin-left: 15px;">
<button id="analyzeButton" class="btn btn-primary ml-2"
onclick="analyzeSentimentMulti()">Analyze</button>
</div>
<div class="mt-4">
<h4>Output:</h4>
<pre id="outputArea2"></pre>
</div>
</div>
<hr> <!-- Line Separator -->
<!-- Reviewer -->
<div id="reviewer-container" class="container mt-4">
<h5>Load a Specific Model (Xenova/bert-base-multilingual-uncased-sentiment):</h5>
<div class="d-flex align-items-center">
<label for="reviewText" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter Text to
Review:</label>
<input type="text" class="form-control flex-grow-1" id="reviewText"
value="The Shawshank Redemption is a true masterpiece of cinema." placeholder="Enter text"
style="margin-right: 15px; margin-left: 15px;">
<button id="reviewButton" class="btn btn-primary" onclick="analyzeReview()">Review</button>
</div>
<div class="mt-4">
<h4>Output:</h4>
<pre id="reviewOutputArea"></pre>
</div>
</div>
<hr> <!-- Line Separator -->
<!-- Reviewer2 -->
<div id="reviewer-container2" class="container mt-4">
<h5>Return Top 5 Classes:</h5>
<div class="d-flex align-items-center">
<label for="reviewText2" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter Text to
Review:</label>
<input type="text" class="form-control flex-grow-1" id="reviewText2"
value="Le meilleur film de tous les temps." placeholder="Enter text"
style="margin-right: 15px; margin-left: 15px;">
<button id="reviewButton2" class="btn btn-primary" onclick="analyzeReview2()">Review</button>
</div>
<div class="mt-4">
<h4>Output:</h4>
<pre id="reviewOutputArea2"></pre>
</div>
</div>
<hr> <!-- Line Separator -->
<!-- Toxic Comment Classification -->
<div id="toxic-container" class="container mt-4">
<h5>Toxic Comment Classification (Return All Classes):</h5>
<div class="d-flex align-items-center">
<label for="toxicText" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter Toxic
Text:</label>
<input type="text" class="form-control flex-grow-1" id="toxicText" value="I hate you!"
placeholder="Enter text" style="margin-right: 15px; margin-left: 15px;">
<button id="toxicButton" class="btn btn-primary" onclick="toxicReview()">Review</button>
</div>
<div class="mt-4">
<h4>Output:</h4>
<pre id="toxicOutputArea"></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 sentimentAnalysis;
let reviewer;
let toxic_classifier;
// Initialize the sentiment analysis model
async function initializeModel() {
sentimentAnalysis = await pipeline("sentiment-analysis");
reviewer = await pipeline('sentiment-analysis', 'Xenova/bert-base-multilingual-uncased-sentiment');
toxic_classifier = await pipeline('text-classification', 'Xenova/toxic-bert');
}
async function analyzeSentiment() {
const textFieldValue = document.getElementById("sentimentText").value.trim();
const result = await sentimentAnalysis(textFieldValue);
document.getElementById("outputArea").innerText = JSON.stringify(result, null, 2);
}
async function analyzeSentimentMulti() {
const textFieldValue1 = document.getElementById("sentimentText1").value.trim();
const textFieldValue2 = document.getElementById("sentimentText2").value.trim();
const result = await sentimentAnalysis([textFieldValue1, textFieldValue2]);
document.getElementById("outputArea2").innerText = JSON.stringify(result, null, 2);
}
async function analyzeReview() {
const textFieldValue = document.getElementById("reviewText").value.trim();
const result = await reviewer(textFieldValue);
document.getElementById("reviewOutputArea").innerText = JSON.stringify(result, null, 2);
}
async function analyzeReview2() {
const textFieldValue = document.getElementById("reviewText2").value.trim();
const result = await reviewer(textFieldValue, { topk: 5 });
document.getElementById("reviewOutputArea2").innerText = JSON.stringify(result, null, 2);
}
async function toxicReview() {
const textFieldValue = document.getElementById("toxicText").value.trim();
const result = await toxic_classifier(textFieldValue, { topk: null });
document.getElementById("toxicOutputArea").innerText = JSON.stringify(result, null, 2);
}
// Initialize the model after the DOM is completely loaded
window.addEventListener("DOMContentLoaded", initializeModel);
</script>
</body>
</html>