${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 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 save\n val\n open\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 ``,\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 if (text == \"\") { continue; }\n if (tokens.length === 0 && text == \"ts\") { continue; }\n if (tokens.length === 0 && text == \"\\n\") { continue; }\n // console.log(text);\n write(_.escape(text));\n tokens.push(text);\n write(``);\n }\n write(`

`);\n write(makeBubbleFooter());\n\n const tempValName = `valle_tmp_${Math.random() * 10}${Math.random() * 10}`.replaceAll(\".\", \"\");\n const newCode = tokens.join(\"\").replaceAll(\"ts\", \"\").replaceAll(\"\", \"\");\n const newVal = await vt.vals.create({ name: tempValName, code: newCode, type: \"http\", privacy: \"public\" });\n archiveVal(newVal.id, tempValsParentFolderId);\n write(``);\n if (questionType == \"regenerate\") {\n write(``);\n ","deleted","label","children",[],[152],"files",[150],"counts",{"_172":32,"_173":137,"_174":32,"_175":32},"pulls","branches","forks","envVars","contents",[178],{"_102":151,"_95":152,"_153":115,"_154":-5,"_155":138,"_156":137,"_157":108,"_104":179,"_99":32,"_159":160,"_161":162,"_163":22,"_164":-5,"_98":180},["D",1721251329102],[152],"file","upstreamProject","upstreamBranch","emptyEnvVars","isNew","flags",[],"routes/_app.x.$handle.$name.pulls",{"_93":94,"_95":96,"_190":191,"_100":194,"_172":199,"_200":-5,"_201":22,"_202":-5},"filters",{"_192":193},"state","open",{"_102":103,"_95":96,"_104":195,"_106":-5,"_107":108,"_109":110,"_111":-5,"_112":-5,"_14":113,"_114":115,"_116":108,"_117":-5,"_118":32,"_16":119,"_120":121,"_122":121,"_123":124,"_125":124,"_126":124,"_127":121,"_128":121,"_23":196,"_132":197,"_135":198,"_147":22},["D",1746139641736],{"_93":94,"_130":131},{"_93":94,"_134":131},{"_99":137,"_95":43,"_102":138,"_139":103,"_140":-5,"_141":-5,"_142":-5,"_143":-5,"_144":-5,"_145":96,"_146":94},[],"latestBranch","isForkOwner","ownProjectForks","actionData","errors"]

Pull requests