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path: root/src/client/views/StyleProviderQuiz.tsx
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-rw-r--r--src/client/views/StyleProviderQuiz.tsx4
1 files changed, 2 insertions, 2 deletions
diff --git a/src/client/views/StyleProviderQuiz.tsx b/src/client/views/StyleProviderQuiz.tsx
index b3fb8c930..db9ab831a 100644
--- a/src/client/views/StyleProviderQuiz.tsx
+++ b/src/client/views/StyleProviderQuiz.tsx
@@ -125,7 +125,7 @@ export namespace styleProviderQuiz {
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']));
+ AnchorMenu.Instance.transferToFlashcard(response, NumCast(img.layoutDoc.x), NumCast(img.layoutDoc.y));
} catch (error) {
console.log('Error', error);
}
@@ -265,7 +265,7 @@ export namespace styleProviderQuiz {
'. ' +
rubricText +
'. One sentence and evaluate based on meaning, not wording. Provide a hex color at the beginning with a period after it on a scale of green (minor details missed) to red (big error) for how correct the answer is. Example: "#FFFFFF. Pasta is delicious."';
- const response = await gptAPICall(queryText, GPTCallType.QUIZ);
+ const response = await gptAPICall(queryText, GPTCallType.QUIZDOC);
const hexSent = extractHexAndSentences(response);
doc.quiz = hexSent.sentences?.replace(/UserAnswer/g, "user's answer").replace(/Rubric/g, 'rubric');
doc.backgroundColor = '#' + hexSent.hexNumber;