81export default async function server(request: Request): Promise<Response> {
82 if (request.method === "POST" && new URL(request.url).pathname === "/chat") {
83 const { OpenAI } = await import("https://esm.town/v/std/openai");
84 const openai = new OpenAI();
85
86 try {
87 const { messages } = await request.json();
88 const completion = await openai.chat.completions.create({
89 messages: messages,
90 model: "gpt-4o-mini",
12 setLoading(true);
13 try {
14 const { OpenAI } = await import("https://esm.town/v/std/openai");
15 const openai = new OpenAI();
16
17 const completion = await openai.chat.completions.create({
18 messages: [
19 { role: "system", content: "You are a pro-level AI assistant combining DeepSweek and ChatGPT capabilities. Provide comprehensive, nuanced responses." },
96export default async function server(request: Request): Promise<Response> {
97 if (request.method === "POST" && new URL(request.url).pathname === "/analyze") {
98 const { OpenAI } = await import("https://esm.town/v/std/openai");
99 const openai = new OpenAI();
100
101 const { text } = await request.json();
102
103 const completion = await openai.chat.completions.create({
104 messages: [
105 {
6* Fork this val to your own profile.
7* Make a folder for the temporary vals that get generated, take the ID from the URL, and put it in `tempValsParentFolderId`.
8* If you want to use OpenAI models you need to set the `OPENAI_API_KEY` [env var](https://www.val.town/settings/environment-variables).
9* If you want to use Anthropic models you need to set the `ANTHROPIC_API_KEY` [env var](https://www.val.town/settings/environment-variables).
10* Create a [Val Town API token](https://www.val.town/settings/api), open the browser preview of this val, and use the API token as the password to log in.
27
28 const { email } = await import("https://esm.town/v/std/email");
29 const { OpenAI } = await import("https://esm.town/v/std/openai");
30 const openai = new OpenAI();
31
32 // Import document parsing libraries
88 }
89
90 // Generate CV using OpenAI with formatting preservation
91 const cvResponse = await openai.chat.completions.create({
92 model: "gpt-4o-mini",
93 messages: [
116 });
117
118 // Generate Cover Letter using OpenAI
119 const coverLetterResponse = await openai.chat.completions.create({
120 model: "gpt-4o-mini",
121 messages: [
149// Server-side rendering
150export default async function server(request: Request): Promise<Response> {
151 // Future: Integrate OpenAI for AI-powered task breakdown
152 // const { OpenAI } = await import("https://esm.town/v/std/openai");
153
154 return new Response(
198 if (new URL(request.url).pathname === '/skill-trends') {
199 try {
200 const { OpenAI } = await import("https://esm.town/v/std/openai");
201 const openai = new OpenAI();
202
203 // Process skills sequentially to avoid rate limiting
206 try {
207 // Try to generate AI definition with exponential backoff
208 const definitionResponse = await openai.chat.completions.create({
209 messages: [{
210 role: "user",
93 if (request.method === 'POST') {
94 try {
95 const { OpenAI } = await import("https://esm.town/v/std/openai");
96 const openai = new OpenAI();
97
98 const { messages } = await request.json();
99
100 const completion = await openai.chat.completions.create({
101 messages: messages,
102 model: "gpt-4o-mini",
2import React, { useState, useEffect, useCallback } from "https://esm.sh/react@18.2.0";
3import { createRoot } from "https://esm.sh/react-dom@18.2.0/client";
4import { OpenAI } from "https://esm.town/v/std/openai";
5
6// Enhanced subjects with more detailed metadata
394
395export default async function server(request: Request): Promise<Response> {
396 const { OpenAI } = await import("https://esm.town/v/std/openai");
397 const openai = new OpenAI();
398
399 if (request.method === 'POST') {
402 if (request.url.includes('/generate-question')) {
403 try {
404 const completion = await openai.chat.completions.create({
405 messages: [
406 {
204export default async function server(request: Request): Promise<Response> {
205 if (request.method === 'POST' && new URL(request.url).pathname === '/generate') {
206 const { OpenAI } = await import("https://esm.town/v/std/openai");
207 const openai = new OpenAI();
208
209 const { jobDetails, cvText } = await request.json();
210
211 // Generate Cover Letter
212 const coverLetterCompletion = await openai.chat.completions.create({
213 messages: [
214 {
237
238 // Optimize CV
239 const cvOptimizationCompletion = await openai.chat.completions.create({
240 messages: [
241 {
