AI Assistant

\n\n \n setInputMessage(e.target.value)}\n onKeyPress={(e) => e.key === \"Enter\" && sendMessage()}\n placeholder=\"Ask me anything...\"\n style={{\n flex: 1,\n padding: \"12px\",\n borderRadius: \"20px\",\n border: \"none\",\n marginRight: \"10px\",\n background: \"rgba(255,255,255,0.2)\",\n color: currentTheme.textColor,\n outline: \"none\",\n }}\n />\n e.target.style.transform = \"scale(1.05)\"}\n onMouseLeave={(e) => e.target.style.transform = \"scale(1)\"}\n >\n Send\n \n \n \n \n );\n}\n\nfunction client() {\n createRoot(document.getElementById(\"root\")).render();\n}\n\nif (typeof document !== \"undefined\") { client(); }\n\nexport default async function server(request: Request): Promise {\n const { OpenAI } = await import(\"https://esm.town/v/std/openai\");\n const openai = new OpenAI();\n\n if (request.method === \"POST\") {\n try {\n const { message } = await request.json();\n const completion = await openai.chat.completions.create({\n messages: [{ role: \"user\", content: message }],\n model: \"gpt-4o-mini\",\n max_tokens: 150,\n });\n\n return new Response(\n JSON.stringify({\n response: completion.choices[0].message.content,\n }),\n {\n headers: { \"Content-Type\": \"application/json\" },\n },\n );\n } catch (error) {\n return new Response(JSON.stringify({ error: \"Failed to process request\" }), {\n status: 500,\n headers: { \"Content-Type\": \"application/json\" },\n });\n }\n }\n\n return new Response(\n `\n \n \n AI Assistant\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/Hemant/cooperativeOrangeBeaver/code/main.tsx","extension","actionData","errors"]