xformjsA

Running

App Files Files Community

xformjsA / sentiments.html

MJ106

Update sentiments.html

94b4037 verified 7 months ago

raw

history blame contribute delete

7.05 kB

	<!DOCTYPE html>
	<html lang="en">

	<head>
	<meta charset="UTF-8">
	<title>Sentiment Analysis - Hugging Face Transformers.js</title>

	<script type="module">
	// To-Do: transfomers.js 라이브러리 중 pipeline 함수를 사용하기 위한 import 구문을 완성하십시오.
	// 힌트: import {}
	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">

	<!-- 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 -->

	<!-- 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() {
	// pipeline 함수를 사용하여 감성분석에 사용할 Xenova/distilbert-base-uncased-finetuned-sst-2-english 모델 객체를 생성하여 sentimentAnalysis에 저장하십시오
	// 힌트: sentimentAnalysis = await pipeline
	sentimentAnalysis = await pipeline ('sentiment-analysis','Xenova/distilbert-base-uncased-finetuned-sst-2-english')
	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("sentimentText1sentimentText").value.trim();
	const textFieldValue2 = document.getElementById("sentimentText2").value.trim();
	// 위에서 생성한 감성분석 모델 객체에 sentimentText1과 sentimentText2를 입력하여 감상분석을 수행하고 그 결과를 result에 저정하십시오.
	// 힌트 : cont result =
	const result = await sentimentAnalysis([textFieldValue1, textFieldValue2]);

	document.getElementById("outputArea2").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>