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Code4,154
import { Hono } from "https://esm.sh/hono@3";import { sqlite } from "https://esm.town/v/std/sqlite";import { OpenAI } from "https://esm.sh/openai";import { renderToString } from "https://esm.sh/react-dom/server";import React, { useEffect, useState } from "https://esm.sh/react";const app = new Hono();const openai = new OpenAI();// --- DATABASE SCHEMA --- // Logic: In a real app, we'd verify the user's token balance here. const completion = await openai.chat.completions.create({ messages: [{ role: "system",Note: When changing a SQLite table's schema, change the table's name (e.g., add _2 or _3) to create a fresh table.### OpenAI```tsimport { OpenAI } from "https://esm.town/v/std/openai";const openai = new OpenAI();const completion = await openai.chat.completions.create({ messages: [ { role: "user", content: "Say hello in a creative way" },Note: When changing a SQLite table's schema, change the table's name (e.g., add _2 or _3) to create a fresh table.### OpenAI```tsimport { OpenAI } from "https://esm.town/v/std/openai";const openai = new OpenAI();const completion = await openai.chat.completions.create({ messages: [ { role: "user", content: "Say hello in a creative way" },Note: When changing a SQLite table's schema, change the table's name (e.g., add _2 or _3) to create a fresh table.### OpenAI```tsimport { OpenAI } from "https://esm.town/v/std/openai";const openai = new OpenAI();const completion = await openai.chat.completions.create({ messages: [ { role: "user", content: "Say hello in a creative way" },import { OpenAI } from "https://esm.town/v/std/openai";export interface TranslatorConfig { onChunk: TranslationChunkCallback): Promise<string> { const openai = new OpenAI(); const messages = [ ]; // Use OpenAI streaming API const stream = await openai.chat.completions.create({ model: config.model, messages, config: TranslatorConfig): Promise<string> { const openai = new OpenAI(); const messages = [ ]; const completion = await openai.chat.completions.create({ model: config.model, messages,Note: When changing a SQLite table's schema, change the table's name (e.g., add _2 or _3) to create a fresh table.### OpenAI```tsimport { OpenAI } from "https://esm.town/v/std/openai";const openai = new OpenAI();const completion = await openai.chat.completions.create({ messages: [ { role: "user", content: "Say hello in a creative way" }, * Public faucet analysis endpoint * No authentication required - accessible to all users * No database operations - only calls external OpenAI API */export default async function(req: Request): Promise<Response> { const __secrets = JSON.parse(req.headers.get('x-secrets') || '{}'); const OPENAI_API_KEY = __secrets['OPENAI_API_KEY']; try { const { image } = await req.json(); const response = await fetch('https://api.openai.com/v1/chat/completions', { method: 'POST', headers: { 'Authorization': `Bearer ${OPENAI_API_KEY}`, 'Content-Type': 'application/json', }, } const OPENAI_API_KEY = __secrets['OPENAI_API_KEY']; if (!OPENAI_API_KEY) { return Response.json({ error: 'OpenAI API key not configured. Please add your API key.' }, { status: 500 }); } } console.log('Analyzing faucet image with OpenAI Vision...'); const prompt = `You are a professional plumber and faucet repair expert. Analyze this image of a faucet and provide detailed repair information.Make the instructions specific to the identified faucet type. Be thorough and practical.`; const response = await fetch('https://api.openai.com/v1/chat/completions', { method: 'POST', headers: { 'Authorization': `Bearer ${OPENAI_API_KEY}`, 'Content-Type': 'application/json', }, if (!response.ok) { const errorData = await response.text(); console.error('OpenAI API error:', errorData); return Response.json({ error: 'Failed to analyze image. Please try again.' }, { status: 500 }); } const data = await response.json(); console.log('OpenAI response received'); const content = data.choices[0]?.message?.content;Note: When changing a SQLite table's schema, change the table's name (e.g., add _2 or _3) to create a fresh table.### OpenAI```tsimport { OpenAI } from "https://esm.town/v/std/openai";const openai = new OpenAI();const completion = await openai.chat.completions.create({ messages: [ { role: "user", content: "Say hello in a creative way" },1. Click [**Remix**](/?intent=remix)2. Add environment variables: - `OPENAI_API_KEY` — for AI lead qualification - `GITHUB_TOKEN` — for accessing GitHub API ([create one here](https://github.com/settings/tokens))reconsumeralization
import { OpenAI } from "https://esm.town/v/std/openai";
import { sqlite } from "https://esm.town/v/stevekrouse/sqlite";
/**
* Practical Implementation of Collective Content Intelligence
* Bridging advanced AI with collaborative content creation
*/
exp
kwhinnery_openai
lost1991
import { OpenAI } from "https://esm.town/v/std/openai";
export default async function(req: Request): Promise<Response> {
if (req.method === "OPTIONS") {
return new Response(null, {
headers: {
"Access-Control-Allow-Origin": "*",
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