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Update sentiments.html

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  1. sentiments.html +7 -25
sentiments.html CHANGED
@@ -2,13 +2,12 @@
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  <html lang="en">
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  <head>
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- <meta charset="UTF-8">
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  <title>Sentiment Analysis - Hugging Face Transformers.js</title>
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  <script type="module">
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- // To-Do: transfomers.js ๋ผ์ด๋ธŒ๋Ÿฌ๋ฆฌ ์ค‘ pipeline ํ•จ์ˆ˜๋ฅผ ์‚ฌ์šฉํ•˜๊ธฐ ์œ„ํ•œ import ๊ตฌ๋ฌธ์„ ์™„์„ฑํ•˜์‹ญ์‹œ์˜ค.
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- // ํžŒํŠธ: import {}
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-
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  // Make it available globally
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  window.pipeline = pipeline;
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  </script>
@@ -106,47 +105,30 @@
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  </div>
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  <script>
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-
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  let sentimentAnalysis;
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  let reviewer;
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  let toxic_classifier;
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-
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  // Initialize the sentiment analysis model
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  async function initializeModel() {
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- // pipeline ํ•จ์ˆ˜๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ๊ฐ์„ฑ๋ถ„์„์— ์‚ฌ์šฉํ•  Xenova/distilbert-base-uncased-finetuned-sst-2-english ๋ชจ๋ธ ๊ฐ์ฒด๋ฅผ ์ƒ์„ฑํ•˜์—ฌ sentimentAnalysis์— ์ €์žฅํ•˜์‹ญ์‹œ์˜ค
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- // ํžŒํŠธ: sentimentAnalysis = await pipeline
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-
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  }
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-
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  async function analyzeSentiment() {
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  const textFieldValue = document.getElementById("sentimentText").value.trim();
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-
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  const result = await sentimentAnalysis(textFieldValue);
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-
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  document.getElementById("outputArea").innerText = JSON.stringify(result, null, 2);
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  }
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-
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  async function analyzeSentimentMulti() {
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- const textFieldValue1 = document.getElementById("sentimentText1sentimentText").value.trim();
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  const textFieldValue2 = document.getElementById("sentimentText2").value.trim();
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- // ์œ„์—์„œ ์ƒ์„ฑํ•œ ๊ฐ์„ฑ๋ถ„์„ ๋ชจ๋ธ ๊ฐ์ฒด์— sentimentText1๊ณผ sentimentText2๋ฅผ ์ž…๋ ฅํ•˜์—ฌ ๊ฐ์ƒ๋ถ„์„์„ ์ˆ˜ํ–‰ํ•˜๊ณ  ๊ทธ ๊ฒฐ๊ณผ๋ฅผ result์— ์ €์ •ํ•˜์‹ญ์‹œ์˜ค.
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- // ํžŒํŠธ : cont result =
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-
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-
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  document.getElementById("outputArea2").innerText = JSON.stringify(result, null, 2);
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  }
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-
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-
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  async function toxicReview() {
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-
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  const textFieldValue = document.getElementById("toxicText").value.trim();
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-
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  const result = await toxic_classifier(textFieldValue, { topk: null });
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-
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  document.getElementById("toxicOutputArea").innerText = JSON.stringify(result, null, 2);
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-
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  }
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-
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  // Initialize the model after the DOM is completely loaded
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  window.addEventListener("DOMContentLoaded", initializeModel);
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  </script>
 
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  <html lang="en">
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  <head>
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+ <meta charset="UTF-8">
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  <title>Sentiment Analysis - Hugging Face Transformers.js</title>
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  <script type="module">
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+ // Import the library
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+ import { pipeline } from 'https://cdn.jsdelivr.net/npm/@xenova/[email protected]';
 
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  // Make it available globally
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  window.pipeline = pipeline;
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  </script>
 
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  </div>
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  <script>
 
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  let sentimentAnalysis;
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  let reviewer;
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  let toxic_classifier;
 
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  // Initialize the sentiment analysis model
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  async function initializeModel() {
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+ sentimentAnalysis = await pipeline('sentiment-analysis', 'Xenova/distilbert-base-uncased-finetuned-sst-2-english');
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+ toxic_classifier = await pipeline('text-classification', 'Xenova/toxic-bert');
 
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  }
 
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  async function analyzeSentiment() {
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  const textFieldValue = document.getElementById("sentimentText").value.trim();
 
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  const result = await sentimentAnalysis(textFieldValue);
 
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  document.getElementById("outputArea").innerText = JSON.stringify(result, null, 2);
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  }
 
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  async function analyzeSentimentMulti() {
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+ const textFieldValue1 = document.getElementById("sentimentText1").value.trim();
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  const textFieldValue2 = document.getElementById("sentimentText2").value.trim();
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+ const result = await sentimentAnalysis([textFieldValue1, textFieldValue2]);
 
 
 
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  document.getElementById("outputArea2").innerText = JSON.stringify(result, null, 2);
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  }
 
 
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  async function toxicReview() {
 
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  const textFieldValue = document.getElementById("toxicText").value.trim();
 
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  const result = await toxic_classifier(textFieldValue, { topk: null });
 
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  document.getElementById("toxicOutputArea").innerText = JSON.stringify(result, null, 2);
 
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  }
 
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  // Initialize the model after the DOM is completely loaded
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  window.addEventListener("DOMContentLoaded", initializeModel);
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  </script>