\n Zylox Neural Interface\n

\n \n

\n {messages.map((msg, index) => (\n

\n {msg.content}\n

\n ))}\n

\n \n

\n setInputMessage(e.target.value)}\n onKeyPress={(e) => e.key === \"Enter\" && handleSendMessage()}\n placeholder=\"Transmit quantum directive...\"\n disabled={isStreaming}\n className=\"flex-grow px-4 py-2 bg-black/50 backdrop-blur-sm text-cyan-300 border border-cyan-500/30 rounded-lg focus:outline-none focus:ring-2 focus:ring-cyan-500 placeholder-cyan-500/70\"\n />\n \n {isStreaming ? \"Transmitting...\" : \"Quantum Send\"}\n \n

\n\n \n

\n );\n}\n\nfunction client() {\n createRoot(document.getElementById(\"root\")).render();\n}\nif (typeof document !== \"undefined\") { client(); }\n\nexport default async function server(request: Request): Promise {\n if (request.method === \"POST\" && new URL(request.url).pathname === \"/chat\") {\n const { OpenAI } = await import(\"https://esm.town/v/std/openai\");\n const openai = new OpenAI();\n\n const { message, characterPrompt } = await request.json();\n\n const stream = await openai.chat.completions.create({\n model: \"gpt-4o-mini\",\n messages: [\n { role: \"system\", content: characterPrompt },\n { role: \"user\", content: message },\n ],\n stream: true,\n });\n\n const encoder = new TextEncoder();\n const readableStream = new ReadableStream({\n async start(controller) {\n for await (const chunk of stream) {\n const content = chunk.choices[0]?.delta?.content || \"\";\n if (content) {\n controller.enqueue(encoder.encode(content));\n }\n }\n controller.close();\n },\n });\n\n return new Response(readableStream, {\n headers: { \"Content-Type\": \"text/plain\" },\n });\n }\n\n return new Response(\n `\n \n \n \n \n \n Quantum Neural Interface\n \n \n \n \n

\n \n \n \n \n `,\n {\n headers: { \"Content-Type\": \"text/html\" },\n },\n );\n}","deleted","label",[99],"permalink","https://www.val.town/x/gigmx/zyloxAIChatApp/code/main.tsx","extension","actionData","errors"]