1 files changed, 3 insertions, 3 deletions
diff --git a/src/client/apis/gpt/customization.ts b/src/client/apis/gpt/customization.ts
index 42f112f88..db5ef6eb5 100644
--- a/src/client/apis/gpt/customization.ts
+++ b/src/client/apis/gpt/customization.ts
@@ -116,9 +116,9 @@ export const smartLayout = async (inputData: { width: number; height: number }[]
 };
 
 // layout
-export const smartLayout2 = async (inputData: { width: number; height: number; content: string }[]) => {
+export const smartLayout2 = async (inputData: { width: number; height: number }[]) => {
     let prompt =
-        'I want to layout documents in a 2d space in an organized fashion with padding of about 50 units around each document, importantly making sure they do not overlap. I also want you to group documents by their content, with space separating semantic categories. Given a json array of documents containing their width and heights in this form: {width: number, height: number, content: string}[], give me a json array in this form: {x: number, y: number}[] corresponding to the documents in the same order with a nice layout. Return just the json array.';
+        'I want to layout documents in a freeform 2d space in a masonry layout with a padding of around 50 units around each document. Take inspiration from existing UI grid and masonry layout design patterns. Make sure documents do not overlap. Given a json array of documents containing their width and heights in this form: {width: number, height: number}[], give me a json array in this form: {x: number, y: number}[] corresponding to the documents in the same order with the improved layout. Return just the json array.';
 
     let messages: ChatCompletionMessageParam[] = [
         { role: 'system', content: prompt },
@@ -132,7 +132,7 @@ export const smartLayout2 = async (inputData: { width: number; height: number; c
         const response = await openai.chat.completions.create({
             model: 'gpt-4',
             messages: messages,
-            temperature: 0.01,
+            temperature: 0,
             max_tokens: 2000,
         });
         const content = response.choices[0].message?.content;