\n {interviewPosition\n ? `Interview for ${interviewPosition}`\n : \"AI Interview Assistant\"}\n

\n \n {isDarkMode\n ? \n : }\n \n

\n\n {/* Interview Thread */}\n

\n {interviews.map((interview, index) => (\n

\n {interview.interviewerQuestion}\n

\n                    {interview.intervieweeResponse}\n

\n ))}\n

{/* Anchor for scrolling */}\n

\n\n

\n setIntervieweeResponse(e.target.value)}\n placeholder={interviews.length === 0\n ? \"Enter name of the position to interview for\"\n : \"Enter your response to the interviewer's question...\"}\n className=\"w-full p-2 pr-10 border rounded-full focus:outline-none focus:ring-2 focus:ring-blue-500 text-sm sm:text-base \n bg-white dark:bg-gray-700 \n text-gray-900 dark:text-gray-100 \n border-gray-300 dark:border-gray-600\"\n required\n />\n {intervieweeResponse && (\n \n \n \n )}\n

\n \n {isLoading ? \"Submitting Response...\" : \"Submit\"}\n \n \n

\n\n \n View Source\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 === \"/ask\") {\n try {\n const { intervieweeResponse, interviewPosition } = await request.json();\n\n const { OpenAI } = await import(\"https://esm.town/v/std/openai\");\n const openai = new OpenAI();\n\n const completion = await openai.chat.completions.create({\n messages: [\n {\n role: \"system\",\n content: `I want you to act as an interviewer for a ${interviewPosition} position. \n I will be the candidate interviewing for this role. \n You will ask me professional, relevant interview questions specific to this position. \n Ask me questions one by one like a real interviewer would. \n Wait for my responses and provide follow-up questions based on my answers. \n Maintain a professional and structured interview approach.`,\n },\n {\n role: \"user\",\n content: intervieweeResponse,\n },\n ],\n model: \"gpt-4o-mini\",\n max_tokens: 1000,\n });\n\n return new Response(\n JSON.stringify({\n interviewerQuestion: completion.choices[0].message.content || \"No response\",\n response: completion.choices[0].message.content || \"No response\",\n }),\n {\n headers: { \"Content-Type\": \"application/json\" },\n },\n );\n } catch (error) {\n return new Response(\n JSON.stringify({\n interviewerQuestion: \"Error occurred\",\n response: `Error: ${error instanceof Error ? error.message : \"Unknown error\"}`,\n }),\n {\n status: 500,\n headers: { \"Content-Type\": \"application/json\" },\n },\n );\n }\n }\n\n return new Response(\n `\n \n \n AI Interview Assistant\n \n \n \n \n \n \n

\n \n \n \n `,\n {\n headers: { \"content-type\": \"text/html\" },\n },\n );\n}","deleted","subdomain",[102],"permalink","https://www.val.town/x/spinningideas/interview_practice/code/main.tsx","extension","routes/embed","actionData","errors"]