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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 try {\n await openai.chat.completions.create({\n model: \"gpt-4\",\n messages: [{ role: \"user\", content: message }],\n });\n } catch (error) {\n console.error(\"Error creating message:\", error);\n return new Response(\"Error creating message: \" + error.message, { status: 500 });\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.chat.completions.stream({\n model: \"gpt-4\",\n messages: [{ role: \"user\", content: \"Continue the conversation\" }],\n })\n .on(\"textCreated\", (text) => {})\n .on(\"textDelta\", (textDelta, snapshot) => write(textDelta.value))\n .on(\"textDone\", async () => {\n controller.close();\n })\n .on(\"error\", (error) => {\n write(\"Error: \" + error.message);\n controller.close();\n });\n },\n });\n\n return new Response(body, { headers: { \"Content-Type\": \"text/event-stream\" } });\n});\n\nexport default app.fetch;","/** @jsxImportSource https://esm.sh/react */\nimport { OpenAI } from \"https://esm.town/v/std/openai\";\nimport { Hono } from \"npm:hono@3\";\nimport { renderToString } from \"npm:react-dom/server\";\n\nconst openai = new OpenAI();\n\nconst jsxResponse = (jsx) => {\n return new Response(renderToString(jsx), { headers: { \"Content-Type\": \"text/html\" } });\n};\n\nconst clientCode = () => {\n document.getElementById(\"input\").addEventListener(\"submit\", async function(event) {\n event.preventDefault();\n\n const msgParent = document.createElement(\"div\");\n msgParent.className = \"flex justify-end\";\n document.querySelector(\".messages\").appendChild(msgParent);\n const msgDiv = document.createElement(\"div\");\n msgDiv.className = \"rounded-lg p-2 m-2 max-w-xl bg-blue-500 text-white\";\n msgDiv.textContent = event.target.message.value;\n msgParent.appendChild(msgDiv);\n // Clear the form input\n this.reset();\n\n const responseDiv = document.createElement(\"pre\");\n responseDiv.className = \"p-2 m-2 max-w-xl bg-gray-300 text-black rounded-lg whitespace-pre-wrap font-sans\";\n document.querySelector(\".messages\").appendChild(responseDiv);\n\n const input = document.getElementById(\"input\");\n\n // Post the message so we can deal with large text data.\n try {\n await fetch(`/post-message?threadId=${input.getAttribute(\"data-thread-id\")}`, {\n method: \"post\",\n body: msgDiv.textContent,\n });\n } catch (error) {\n responseDiv.innerText = \"Error posting message: \" + error.message;\n return;\n }\n\n // Setup the SSE connection and stream back the response.\n const eventSource = new EventSource(\n `/sse-response?threadId=${input.getAttribute(\"data-thread-id\")}&assistantId=${\n input.getAttribute(\"data-assistant-id\")\n }`,\n );\n eventSource.onmessage = function(event) {\n responseDiv.innerText += JSON.parse(event.data);\n };\n\n eventSource.onerror = function() {\n eventSource.close();\n };\n });\n};\n\nconst app = new Hono();\n\napp.get(\"/\", async (c) => {\n let thread, assistant;\n try {\n thread = await openai.chat.completions.create({\n model: \"gpt-3.5-turbo\", // Use a faster model\n messages: [{ role: \"system\", content: \"Start a new thread\" }],\n });\n assistant = await openai.chat.completions.create({\n model: \"gpt-3.5-turbo\", // Use a faster model\n messages: [{\n role: \"system\",\n content:\n \"You are a helpful assistant. Behave normally, but try and sneak a reference to Val Town into every response in a subtle way.\",\n }],\n });\n } catch (error) {\n console.error(\"Error initializing assistant or thread:\", error);\n return new Response(\"Error initializing assistant or thread: \" + error.message, { status: 500 });\n }\n\n return jsxResponse(\n \n \n \n \n \n \n \n

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 try {\n await openai.chat.completions.create({\n model: \"gpt-3.5-turbo\", // Use a faster model\n messages: [{ role: \"user\", content: message }],\n });\n } catch (error) {\n console.error(\"Error creating message:\", error);\n return new Response(\"Error creating message: \" + error.message, { status: 500 });\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.chat.completions.stream({\n model: \"gpt-3.5-turbo\", // Use a faster model\n messages: [{ role: \"user\", content: \"Continue the conversation\" }],\n })\n .on(\"textCreated\", (text) => {})\n .on(\"textDelta\", (textDelta, snapshot) => write(textDelta.value))\n .on(\"textDone\", async () => {\n controller.close();\n })\n .on(\"error\", (error) => {\n write(\"Error: \" + error.message);\n controller.close();\n });\n },\n });\n\n return new Response(body, { headers: { \"Content-Type\": \"text/event-stream\" } });\n});\n\nexport default app.fetch;","createdAt",["D",1718392218697],"branchVersion","branchId","a57f47c4-27b0-11f0-aecd-569c3dd06744","id","a57f0958-27b0-11f0-aecd-569c3dd06744","chocolateCanid",["D",1746230009276],"deletedAt","legacyEnvVars",true,"privacy","public","httpPrivacy","description","imageUrl","e5615e9f-07dd-4d28-aaa1-9ee23a41135a","pinnedFileId","pinPreview","pinMigrated","screenshotVersion","likeCount",0,"orgId","76badc02-5066-4776-b1f9-963b50ea816c","tursoName","tursoHostname","tursoMeasuredAt","pinned","userPerm","r","valPerm","blobPerm","rw","emailPerm","sqlitePerm","projectPerm","telemetryPerm","user",{"_97":96,"_104":100},"org",{"_97":96,"_98":-5,"_99":100,"_18":55,"_101":102,"_103":25},"branch",{"_13":14,"_32":84,"_43":42,"_85":44,"_86":87,"_88":61,"_89":51,"_90":91,"_92":93,"_94":45,"_95":96},"isOwned","main","projectId","forkedBranchId","f7f7f036-252c-11f0-8a67-569c3dd06744","forkedBranchVersion","forkedProjectPrivacy","forkedProjectId","f7f74cee-252c-11f0-8a67-569c3dd06744","forkedProjectOrgId","c1e7642a-74cc-4d69-8652-20abbdeaa94e","projectName","userHandle","willthereader","handle","displayName","avatar","https://img.clerk.com/eyJ0eXBlIjoiZGVmYXVsdCIsImlpZCI6Imluc18yTm10cGhQUklwU0tqZHNiOHNnNGd2ZjJURFUiLCJyaWQiOiJ1c2VyXzJObXZ0bE1rbVBEMkhHNzR3SmVmMHc3eldBQiJ9","tier","free","canRestrictVals","profileImageUrl","branchName","","adoptOrgId",{"_43":44,"_32":45,"_38":174,"_47":-5,"_48":49,"_50":51,"_52":51,"_53":-5,"_54":-5,"_18":55,"_56":31,"_57":49,"_58":-5,"_59":-5,"_60":61,"_62":63,"_64":-5,"_65":-5,"_66":-5,"_67":-5,"_68":69,"_70":69,"_71":72,"_73":72,"_74":72,"_75":69,"_76":69,"_77":175,"_79":176,"_81":177,"_83":25},"tree",[165,166],"files",[165,166],"counts",{"_155":61,"_156":151,"_157":61,"_158":159,"_160":161},"contents",[139,140],"upstreamProject",{"_43":91,"_32":136,"_53":-5,"_54":-5,"_50":51,"_77":137},"upstreamBranch",{"_43":87,"_38":129,"_130":131,"_32":84,"_85":91,"_13":132,"_86":-5,"_88":-5,"_133":134,"_47":-5,"_83":25,"_50":51,"_95":135,"_62":93,"_94":136},"emptyEnvVars","flags",[],"hasHttpFiles","grants","orgs","customDomains",{},["D",1745953551743],"updatedAt",["D",1718221121819],144,"lockfileKey","1745956520267-esm.town_v_maxm_valTownChatGPT@144-main","maxm","valTownChatGPT",{"_97":135,"_104":138},"https://img.clerk.com/eyJ0eXBlIjoicHJveHkiLCJzcmMiOiJodHRwczovL2ltYWdlcy5jbGVyay5kZXYvdXBsb2FkZWQvaW1nXzJnTEtkSHlOMWxWZm1GRHdKYUVTNklYM3FpdiJ9",{"_43":148,"_32":149,"_30":150,"_142":-5,"_41":42,"_40":151,"_143":49,"_38":152,"_13":61,"_33":20,"_35":153,"_24":25,"_146":-5,"_27":154},{"_43":141,"_32":28,"_30":31,"_142":-5,"_41":42,"_40":14,"_143":49,"_38":144,"_13":145,"_33":34,"_35":37,"_24":25,"_146":-5,"_27":147},"a5a80f9c-27b0-11f0-aecd-569c3dd06744","parentId","latest",["D",1718392218697],7,"label",[28],"a581ef6a-27b0-11f0-aecd-569c3dd06744","README.md","a581efec-27b0-11f0-aecd-569c3dd06744",1,["D",1718391202212],"# 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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Diff · v8