Update sentiments.html

sentiments.html

@@ -6,12 +6,8 @@
     <title>Sentiment Analysis - Hugging Face Transformers.js</title>
 
     <script type="module">
-
-      import { pipeline } from 'https://cdn.jsdelivr.net/npm/@xenova/[email protected]';
-      
-        // To-Do: transfomers.js 라이브러리 중 pipeline 함수를 사용하기 위한 import 구문을 완성하십시오.
-        // 힌트: import {}
-
+        // Import the library
+        import { pipeline } from 'https://cdn.jsdelivr.net/npm/@xenova/[email protected]';
         // Make it available globally
         window.pipeline = pipeline;
     </script>
@@ -108,50 +104,31 @@
         </div>
     </div>
 
-    <script> 
-
+    <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'); 
+            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 textFieldValue1 = document.getElementById("sentimentText1").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]); 
-  
+            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>