2import { html } from "npm:hono@3/html";
3import { cors } from 'npm:hono/cors';
4import { OpenAI } from "npm:openai";
5
6const app = new Hono();
7const openai = new OpenAI(Deno.env.get("OPENAI_API_KEY_VOICE"));
8
9class TranscriptionService {
10 async transcribeAudio(audioFile) {
11 try {
12 const transcription = await openai.audio.transcriptions.create({
13 file: audioFile,
14 model: "whisper-1",
18 return transcription;
19 } catch (error) {
20 console.error('OpenAI API error:', error);
21 throw error;
22 }
350
351 try {
352 const response = await openai.chat.completions.create({
353 model: "gpt-3.5-turbo",
354 messages: [
368 return c.text(translation);
369 } catch (error) {
370 console.error('OpenAI API error:', error);
371 return c.text('Error occurred during translation', 500);
372 }
383
384 try {
385 const mp3 = await openai.audio.speech.create({
386 model: "tts-1",
387 voice: voice,
395 });
396 } catch (error) {
397 console.error('OpenAI API error:', error);
398 return c.text('Error occurred during speech generation', 500);
399 }
114 if (new URL(request.url).pathname === '/generate-idea') {
115 try {
116 const { OpenAI } = await import("https://esm.town/v/std/openai");
117 const openai = new OpenAI();
118
119 const completion = await openai.chat.completions.create({
120 messages: [
121 {
303 console.log(`Received ${request.method} request to ${request.url}`);
304
305 const { OpenAI } = await import("https://esm.town/v/std/openai");
306 const { sqlite } = await import("https://esm.town/v/stevekrouse/sqlite");
307 const openai = new OpenAI();
308 const url = new URL(request.url);
309
334 console.log("Generated prompt:", prompt);
335
336 const completion = await openai.chat.completions.create({
337 messages: [{ role: "user", content: prompt }],
338 model: "gpt-4o-mini",
1import { OpenAI } from "https://esm.town/v/std/openai";
2
3export default async function(request: Request) {
41 }
42
43 const openai = new OpenAI();
44
45 const summaryPrompt = "This is a news link: " + inputUrl
54
55 try {
56 // Get the article summary from OpenAI
57 const summaryResponse = await openai.chat.completions.create({
58 model: "gpt-4o-mini",
59 response_format: { type: "json_object" },
75 return new Response(
76 JSON.stringify({
77 error: `OpenAI processing failed: ${error.message}`,
78 errorStack: error.stack,
79 }),
1Uses OpenAI to generate a thought-provoking statement and emails it to you at whatever interval you set.
2
3Clone/fork this, set the interval you want (eg. every 1 days) and hit run to test it.
168 );
169
170 const { OpenAI } = await import("https://esm.town/v/std/openai");
171 const openai = new OpenAI();
172
173 try {
174 const imageAnalysis = await withTimeout(openai.chat.completions.create({
175 model: "gpt-4o",
176 messages: [
199 : '';
200
201 const story = await withTimeout(openai.chat.completions.create({
202 model: "gpt-4o-mini",
203 messages: [
1import { OpenAI } from "https://esm.town/v/std/openai";
2
3export default async function(request: Request): Promise<Response> {
4 try {
5 const openai = new OpenAI();
6
7 const completion = await openai.chat.completions.create({
8 messages: [
9 {
2
3import { telegramSendMessage } from "https://esm.town/v/vtdocs/telegramSendMessage?v=5";
4import { OpenAI } from "https://esm.town/v/std/openai";
5import { blob } from "https://esm.town/v/std/blob";
6
7const openai = new OpenAI();
8
9// Task structure
98 `;
99
100 const completion = await openai.chat.completions.create({
101 messages: [{ role: "user", content: prompt }],
102 model: "gpt-4o-mini",
1import { OpenAI } from "https://esm.town/v/std/openai?v=5"
2import { sqlite } from "https://esm.town/v/std/sqlite?v=6"
3import { Chess } from "npm:chess.js"
131 return c.html(`<body>
132 <div class='p-4'>
133 <h2 class='font-bold'>OpenAI Chess</h2>
134 <p class='pb-4'>Play chess against ChatGPT-4</p>
135 <div id="myBoard" style="width: 400px"></div>
171 chess.move(san)
172
173 const openai = new OpenAI()
174
175 let messages = []
182 args: [c.req.param().id, `Requesting response to ${san}`],
183 })
184 const completion = await openai.chat.completions.create({
185 messages: [
186 {
670 }
671
672 const { OpenAI } = await import("https://esm.town/v/std/openai");
673 const regenerateKey = request.headers.get("Regenerate-Key") || "0";
674 const openai = new OpenAI();
675
676 const { sport, skillLevel, ageGroup, groupSize, selectedSkills, sessionDuration } = await request.json();
707 Ensure that the conclusion ties together all the main concepts covered in the training, reinforces the learning objectives, and provides clear takeaways for both participants and coaches. The questions in the conclusion should prompt critical thinking about the skills practiced and their application in the sport.`;
708
709 const completion = await openai.chat.completions.create({
710 messages: [{ role: "user", content: prompt + `\n\nRegenerate key: ${regenerateKey}` }],
711 model: "gpt-4o-mini",
