Welcome to Val Town ChatGPT

\n Type your message below to start a conversation. Check out the source here:{\" \"}\n \n https://www.val.town/v/maxm/valTownChatGPT\n \n

\n \n \n \n \n \n

\n \n ,\n );\n});\n\napp.post(\"/post-message\", async (c) => {\n let message = await c.req.text();\n await openai.beta.threads.messages.create(\n c.req.query(\"threadId\"),\n { role: \"user\", content: message },\n );\n return new Response(null, { status: 200 });\n});\n\napp.get(\"/sse-response\", async (c) => {\n const threadId = c.req.query(\"threadId\");\n const assistantId = c.req.query(\"assistantId\");\n\n const body = new ReadableStream({\n start(controller) {\n const write = (str) => {\n controller.enqueue(new TextEncoder().encode(\n \"data: \" + JSON.stringify(str) + \"\\n\\n\",\n ));\n };\n const run = openai.beta.threads.runs.stream(threadId, {\n assistant_id: assistantId,\n // Make sure we only display messages we haven't seen yet.\n truncation_strategy: { type: \"auto\" },\n })\n .on(\"textCreated\", (text) => {})\n .on(\"textDelta\", (textDelta, snapshot) => write(textDelta.value))\n .on(\"textDone\", async () => {\n controller.close();\n });\n },\n });\n\n return new Response(body, { headers: { \"Content-Type\": \"text/event-stream\" } });\n});\nexport default app.fetch;","label",[63],"4f5c690a-2759-11f0-86ff-569c3dd06744",["D",1720108500795],"# ChatGPT Implemented in Val Town\n\nDemonstrated how to use assistants and threads with the OpenAI SDK and how to stream the response with Server-Sent Events.\n\n

\n\n\n\n

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History