${emoji}

\n `;\n};\n\nconst makeBubbleFooter = () => {\n return `\n

\n `;\n};\n\nconst makeAssistantMessageHeader = (maxHeight: number) => {\n return `I wrote some new code for your Val:

`;\n};\n\nconst mainHandler = async (c) => {\n const { readable, writable } = new TransformStream();\n const writer = writable.getWriter();\n const textEncoder = new TextEncoder();\n function write(text) {\n writer.write(textEncoder.encode(text));\n }\n\n let valCode = \"\";\n let iframeSrc = \"\";\n // const valName: any = c.req.query(\"valName\");\n // if (valName) {\n // const val = await vt.alias.username.valName.retrieve(username, valName);\n // valCode = val.code;\n // iframeSrc = `https://${username}-${valName}.web.val.run`;\n // }\n\n new Promise(async () => {\n write(`\n \n \n \n \n \n \n \n

\n \n \n

${_.escape(valCode)}

\n \n

\n \n `);\n\n const body = await c.req.parseBody();\n const userprompt: any = body.userprompt;\n let prevConversation = [];\n if (body.prevConversation) prevConversation = JSON.parse(body.prevConversation as any) as any;\n let currentCode = \"\";\n if (body.code) currentCode = body.code as any;\n let model = \"gpt-3.5-turbo\";\n if (body.model) model = body.model as any;\n\n write(makeBubbleHeader(\"🤖\"));\n write(\n `

Hi, I'm VALL-E . How can I help?

`,\n );\n write(makeBubbleFooter());\n\n for (const message of prevConversation) {\n if (message.role === \"assistant\") {\n write(makeBubbleHeader(\"🤖\"));\n write(makeAssistantMessageHeader(80));\n write(_.escape(message.content.replaceAll(\"ts\", \"\").replaceAll(\"\", \"\")));\n write(`

`);\n write(makeBubbleFooter());\n } else {\n write(makeBubbleHeader(\"🧑‍💻\"));\n write(_.escape(message.content));\n write(makeBubbleFooter());\n }\n }\n\n if (userprompt) {\n write(makeBubbleHeader(\"🧑‍💻\"));\n write(_.escape(userprompt));\n write(makeBubbleFooter());\n\n write(makeBubbleHeader(\"🤖\", \"bubble-loading\", true));\n write(\n ``,\n );\n write(makeBubbleFooter());\n\n const contextWindow: any = await valleGetValsContextWindow(model);\n const openai = new OpenAI();\n const stream = await openai.chat.completions.create({\n model,\n stream: true,\n messages: [\n ...contextWindow.slice(0, 300),\n { role: \"system\", content: systemprompt },\n ...prevConversation,\n { role: \"system\", content: `${systemprompt2}\\n\\`\\`\\`ts\\n${currentCode}\\n\\`\\`\\`` },\n { role: \"user\", content: userprompt },\n ],\n });\n\n write(``);\n write(makeBubbleHeader(\"🤖\", \"assistant-latest\", true));\n write(makeAssistantMessageHeader(150));\n write(\n ``,\n );\n const tokens = [];\n const rawTokens = [];\n for await (const chunk of stream) {\n const text = chunk.choices[0]?.delta?.content;\n if (!text) { continue; }\n rawTokens.push(text);\n\n // Combine the below lines to reduce logic clutter\n if ([\"\", \"ts\", \"\\n\"].includes(text) && tokens.length === 0) { continue; }\n\n write(_.escape(text));\n tokens.push(text);\n write(``);\n }\n write(`

`);\n write(makeBubbleFooter());\n\n const tempValName = `valle_tmp_${Math.random().toString(36).substr(2, 9)}`;\n const newCode = tokens.join(\"\").replaceAll(\"ts\", \"\").replaceAll(\"\", \"\");\n await vt.vals.create({ name: tempValName, code: newCode, type: \"http\", privacy: \"public\" });\n write(``);\n\n const newConversation = [\n ...prevConversation,\n { role: \"user\", content: userprompt },\n { role: \"assistant\", content: rawTokens.join(\"\") },\n ];\n write(``);\n }\n\n write(makeBubbleHeader(\"🧑‍💻\"));\n write(`\n

\n \n \n

\n `);\n write(makeBubbleFooter());\n\n writer.close();\n });\n\n return new Response(readable, { headers: { \"Content-Type\": \"text/html\" } });\n};\napp.get(\"/\", mainHandler);\napp.post(\"/\", mainHandler);\n\nexport default passwordAuth(app.fetch, { verifyPassword: verifyToken });\n\n","deleted","label",[98],"permalink","https://www.val.town/x/janpaul123/valle_tmp_563310902711919480463986409263/code/main.tsx","extension","actionData","errors"]