\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}","label",[58],"pulls","branches","forks","envVars",{"_150":20,"_152":20},"connections",{"_150":20,"_151":20},"count","unfilledCount","emptyCount",{"_27":135,"_13":58,"_56":57,"_37":-5,"_29":30,"_136":34,"_137":76,"_31":154,"_33":20,"_59":60,"_139":140,"_61":24,"_141":-5,"_155":156,"_112":157},["D",1735658494904],"children",[],[58],["D",1746227182287],{"_11":12,"_111":64},{"_11":12,"_107":-5,"_63":64,"_25":62,"_108":109,"_110":24},{"_33":34,"_13":16,"_27":30,"_99":65,"_100":-5,"_101":-5,"_102":-5,"_103":-5,"_104":-5,"_105":14,"_106":12},"ctx",{"_45":-5,"_131":195,"_196":197,"_198":199,"_200":24,"_201":24,"_202":24,"_203":76,"_204":-5,"_205":-7,"_206":-7,"_207":20,"_208":24,"_209":24,"_210":-5,"_211":24,"_212":24,"_213":24,"_214":-5},"ENV",{"_166":167,"_168":169,"_170":16,"_171":172,"_173":174,"_175":176,"_177":178,"_179":180,"_181":182,"_183":184,"_185":186,"_187":188,"_189":190,"_191":192,"_193":194},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","811aa22498c9b0b5a47e8d778de579cdb990f332","RENDER_GIT_BRANCH","POSTHOG_API_TOKEN","phc_nmoyuAkStEZuUp69rYlg1DZgrIt19Gx0Y4Hwf8tGgJP","POSTHOG_API_HOST","https://wart.val.town","WEB_API_TEMPLATE","https://{val}.web.val.run","APP_URL","https://www.val.town","MODULE_URL","https://esm.town","VANITY_WEB_API_TEMPLATE","https://{label}.val.run/","DENOLS_URL","https://lsp.val.town","NODE_ENV","production","CLOUDFLARE_TURNSTILE_SITE_KEY","0x4AAAAAACtaIZJH7s9rBMZ6","GOOGLE_CLIENT_ID","875989696899-jtsqkhlbdv5jrlsk8631p7ipjg3c6o62.apps.googleusercontent.com","STRIPE_PUBLISHABLE_KEY","pk_live_51N2zvWEpZTTLipIkVEwXrUG9AT0yeOOEYxszarZT1jpsZV58Ly6wlg3SltZpHN26CUalOBmUSY7adQRQiSkCZz2500qSXNkf8Y","API_URL","https://api.val.town",[],"preferencesKeybindings","default","preferencesTheme","light","preferencesFixers","preferencesCopilot","preferencesSelectionAi","preferencesCloseBrackets","preferencesChatPanelState","preferencesDprint","preferencesDenofmt","notificationCount","flagDenols","isBusinessOrgMember","businessOrgHandle","isBusinessOrgAdmin","isHigherTownieTier","navCollapsed","currentOrgId"]

History