1 files changed, 20 insertions, 19 deletions

diff --git a/src/client/views/StyleProviderQuiz.tsx b/src/client/views/StyleProviderQuiz.tsx
index acda38dd7..fe76bce28 100644
--- a/src/client/views/StyleProviderQuiz.tsx
+++ b/src/client/views/StyleProviderQuiz.tsx
@@ -9,7 +9,7 @@ import { DocData } from '../../fields/DocSymbols';
 import { List } from '../../fields/List';
 import { NumCast, StrCast } from '../../fields/Types';
 import { Networking } from '../Network';
-import { GPTCallType, gptAPICall, gptImageLabel } from '../apis/gpt/GPT';
+import { GPTCallType, gptAPICall } from '../apis/gpt/GPT';
 import { Docs } from '../documents/Documents';
 import { ContextMenu } from './ContextMenu';
 import { ContextMenuProps } from './ContextMenuItem';
@@ -67,7 +67,7 @@ export namespace styleProviderQuiz {
             newCol.zIndex = 1000;
             newCol.forceActive = true;
             newCol.quiz = text;
-            newCol[DocData][Doc.LayoutFieldKey(newCol) + '_transform'] = 'none';
+            newCol['$' + Doc.LayoutDataKey(newCol) + '_transform'] = 'none';
             Doc.AddDocToList(img.Document, 'quizBoxes', newCol);
             img.addDocument(newCol);
             //   img._loading = false;
@@ -110,20 +110,21 @@ export namespace styleProviderQuiz {
         const blob = await ImageUtility.canvasToBlob(canvas);
         return selectUrlToBase64(blob);
     }
-    /**
-     * Create flashcards from an image.
-     */
-    async function makeFlashcardsForImage(img: ImageBox) {
-        img.Loading = true;
-        try {
-            const hrefBase64 = await createCanvas(img);
-            const response = await gptImageLabel(hrefBase64, 'Make flashcards out of this image with each question and answer labeled as "question" and "answer". Do not label each flashcard and do not include asterisks: ');
-            AnchorMenu.Instance.transferToFlashcard(response, NumCast(img.layoutDoc.x), NumCast(img.layoutDoc.y));
-        } catch (error) {
-            console.log('Error', error);
-        }
-        img.Loading = false;
-    }
+
+    // /**
+    //  * Create flashcards from an image.
+    //  */
+    // async function makeFlashcardsForImage(img: ImageBox) {
+    //     img.Loading = true;
+    //     try {
+    //         const hrefBase64 = await createCanvas(img);
+    //         const response = await gptImageLabel(hrefBase64, 'Make flashcards out of this image with each question and answer labeled as "question" and "answer". Do not label each flashcard and do not include asterisks: ');
+    //         AnchorMenu.Instance.transferToFlashcard(response, NumCast(img.layoutDoc.x), NumCast(img.layoutDoc.y));
+    //     } catch (error) {
+    //         console.log('Error', error);
+    //     }
+    //     img.Loading = false;
+    // }
 
     /**
      * Calls the createCanvas and pushInfo methods to convert the
@@ -247,7 +248,7 @@ export namespace styleProviderQuiz {
     function check(img: ImageBox) {
         //this._loading = true;
         imgQuizBoxes(img).forEach(async doc => {
-            const input = StrCast(doc[DocData].title);
+            const input = StrCast(doc.$title);
             if (imgQuizMode(img) == quizMode.SMART && input) {
                 const questionText = 'Question: What was labeled in this image?';
                 const rubricText = ' Rubric: ' + StrCast(doc.quiz);
@@ -274,8 +275,8 @@ export namespace styleProviderQuiz {
 
     function redo(img: ImageBox) {
         imgQuizBoxes(img).forEach(doc => {
-            doc[DocData].title = '';
-            doc.backgroundColor = '#e4e4e4';
+            doc.$title = '';
+            doc.$backgroundColor = '#e4e4e4';
         });
     }