Merge branch 'main' of https://github.com/Dhravya/supermemory into new-uinew-ui

1 files changed, 12 insertions, 12 deletions

diff --git a/apps/cf-ai-backend/src/routes/ask.ts b/apps/cf-ai-backend/src/routes/ask.ts
index 1c48dde8..267c1513 100644
--- a/apps/cf-ai-backend/src/routes/ask.ts
+++ b/apps/cf-ai-backend/src/routes/ask.ts
@@ -1,18 +1,18 @@
-import { GenerativeModel } from "@google/generative-ai";
-import { OpenAIEmbeddings } from "../OpenAIEmbedder";
-import { CloudflareVectorizeStore } from "@langchain/cloudflare";
-import { Request } from "@cloudflare/workers-types";
+import { GenerativeModel } from '@google/generative-ai';
+import { OpenAIEmbeddings } from '../OpenAIEmbedder';
+import { CloudflareVectorizeStore } from '@langchain/cloudflare';
+import { Request } from '@cloudflare/workers-types';
 
 export async function POST(request: Request, _: CloudflareVectorizeStore, embeddings: OpenAIEmbeddings, model: GenerativeModel, env?: Env) {
-	const body = await request.json() as {
-		query: string
+	const body = (await request.json()) as {
+		query: string;
 	};
 
 	if (!body.query) {
-		return new Response(JSON.stringify({ message: "Invalid Page Content" }), { status: 400 });
+		return new Response(JSON.stringify({ message: 'Invalid Page Content' }), { status: 400 });
 	}
 
-	const prompt = `You are an agent that answers a question based on the query. don't say 'based on the context'.\n\n Context:\n${body.query} \nAnswer this question based on the context. Question: ${body.query}\nAnswer:`
+	const prompt = `You are an agent that answers a question based on the query. don't say 'based on the context'.\n\n Context:\n${body.query} \nAnswer this question based on the context. Question: ${body.query}\nAnswer:`;
 	const output = await model.generateContentStream(prompt);
 
 	const response = new Response(
@@ -22,14 +22,14 @@ export async function POST(request: Request, _: CloudflareVectorizeStore, embedd
 				for await (const chunk of output.stream) {
 					const chunkText = await chunk.text();
 					console.log(chunkText);
-					const encodedChunk = converter.encode("data: " + JSON.stringify({ "response": chunkText }) + "\n\n");
+					const encodedChunk = converter.encode('data: ' + JSON.stringify({ response: chunkText }) + '\n\n');
 					controller.enqueue(encodedChunk);
 				}
-				const doneChunk = converter.encode("data: [DONE]");
+				const doneChunk = converter.encode('data: [DONE]');
 				controller.enqueue(doneChunk);
 				controller.close();
-			}
-		})
+			},
+		}),
 	);
 	return response;
 }