\n \n \n \n \n `));\n\n let previousContent = \"\";\n trendGPT(JSON.stringify(trendsData), (streamedData) => {\n const newContent = streamedData.slice(previousContent.length);\n previousContent = streamedData;\n writer.write(encoder.encode(`\n \n `));\n }).then(() => {\n writer.close();\n }).catch((error) => {\n console.error(\"Error while rendering:\", error);\n writer.write(encoder.encode(\"

An error occurred while rendering the response.

\"));\n writer.close();\n });\n\n return new Response(readable, {\n headers: {\n \"Content-Type\": \"text/html; charset=utf-8\",\n \"Transfer-Encoding\": \"chunked\",\n },\n });\n});\n\napp.post(\"/ask\", async (c) => {\n const body = await c.req.parseBody() ?? trendsData;\n let responseText = \"\";\n\n try {\n await trendGPT(JSON.stringify(body), (streamedData) => {\n responseText = streamedData;\n });\n } catch (error) {\n console.error(\"Error while processing request:\", error);\n return c.text(\"An error occurred while processing your request.\", 500);\n }\n\n return c.text(responseText);\n});\n\nexport default app.fetch;","deleted","label",[98],"permalink","https://www.val.town/x/mjweaver01/FindFraudTrendsUsingGPT/code/main.tsx","extension","actionData","errors"]