Update text-to-text-generation.html

text-to-text-generation.html

@@ -8,7 +8,6 @@
     <script type="module">
         // Import the library
         import { pipeline } from 'https://cdn.jsdelivr.net/npm/@xenova/[email protected]';
-
         // Make it available globally
         window.pipeline = pipeline;
     </script>
@@ -84,40 +83,30 @@
     </div>
 
     <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, {
-               // To-Do: generator 객체에 temperature 파라미터 값을 지정하십시오.
                 max_new_tokens: 200,
                 temperature: 0.9,
                 repetition_penalty: 2.0,
                 no_repeat_ngram_size: 3,
+                // top_k: 20,
+                // do_sample: true,
             });
-            // To-Do: result의 값을 stringd으로 변환하여 outputArea2에 출력하십시오.
-            // 힌트: document.getElementById("outputArea2") 사용
             document.getElementById("outputArea2").innerText = JSON.stringify(result, null, 2);
         }
-
         // Initialize the model after the DOM is completely loaded
         window.addEventListener("DOMContentLoaded", initializeModel);
     </script>