${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\napp.post(\"/save\", async (c) => {\n const body = await c.req.parseBody();\n console.log(body);\n const valName = body.valName as any;\n const code = body.code as any;\n await updateValByName({ token: valTownToken, code, name: valName });\n return new Response();\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 new Promise(async () => {\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 let loadValName = \"\";\n if (c.req.query(\"loadValName\")) loadValName = c.req.query(\"loadValName\") as any;\n let questionType = \"regenerate\";\n if (body.questionType) questionType = body.questionType as any;\n\n let formAction = \"/\";\n if (loadValName) {\n formAction += `?loadValName=${loadValName}`;\n }\n\n if (prevConversation.length === 0 && loadValName) {\n const val = await vt.alias.username.valName.retrieve(username, loadValName);\n currentCode = val.code;\n }\n\n write(`\n \n \n \n \n \n \n \n \n \n \n

\n \n

\n \n \n \n save\n val\n open\n 💾\n

\n \n

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

\n \n \n \n `);\n\n write(makeBubbleHeader(\"🤖\"));\n write(\n `

Hi, I'm VALL-E `,\n );\n if (loadValName) {\n write(\n `

Let’s use ${loadValName} as a starting point.

`,\n );\n } else {\n write(\n `

Say what you’d like to make, or load an existing Val:

`,\n );\n }\n write(`

`);\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 `

Environment variables