├── .github └── ISSUE_TEMPLATE │ ├── register.yml │ └── registro-hackathon-vercel.md ├── .gitignore ├── README.md └── ejemplos ├── xx-ai-review-summary ├── LICENSE ├── README.md ├── app │ ├── [gameId] │ │ └── page.tsx │ ├── favicon.ico │ ├── globals.css │ ├── layout.tsx │ └── page.tsx ├── components.json ├── components │ ├── ai-review-summary.tsx │ ├── reviews.tsx │ ├── score.tsx │ └── ui │ │ ├── avatar.tsx │ │ ├── card.tsx │ │ └── separator.tsx ├── lib │ ├── ai-summary.ts │ ├── data.ts │ ├── types.ts │ └── utils.ts ├── next-env.d.ts ├── next.config.mjs ├── package.json ├── pnpm-lock.yaml ├── postcss.config.js ├── public │ ├── next.svg │ ├── placeholder-user.jpg │ └── vercel.svg ├── tailwind.config.ts └── tsconfig.json └── xx-chat-node ├── .gitignore ├── README.md ├── chatgpt.js ├── index.ts ├── package.json └── pnpm-lock.yaml /.github/ISSUE_TEMPLATE/register.yml: -------------------------------------------------------------------------------- 1 | name: "✅ Registra tu participación en la hackathon" 2 | description: "Incluye toda la información de tu participación" 3 | title: "[Participación]: " 4 | labels: ["registro"] 5 | body: 6 | - type: markdown 7 | attributes: 8 | value: "## Pre-requisitos" 9 | - type: checkboxes 10 | id: pre-requisitos 11 | attributes: 12 | label: Señala los requisitos cumplidos 13 | description: | 14 | Asegúrate de cumplir estos requisitos antes de registrarte 15 | options: 16 | - label: Mi aplicación usa Vercel SDK AI de alguna forma 17 | required: true 18 | - label: | 19 | Mi aplicación está desplegada y funciona 20 | required: true 21 | - type: markdown 22 | attributes: 23 | value: "## Información" 24 | - type: input 25 | id: nombre-equipo 26 | attributes: 27 | label: Escribe tu nombre o el del equipo 28 | placeholder: midudev 29 | validations: 30 | required: true 31 | - type: input 32 | id: nombre-proyecto 33 | attributes: 34 | label: Nombre del Proyecto 35 | placeholder: Mi impresionante proyecto 36 | validations: 37 | required: true 38 | - type: textarea 39 | id: descripcion-proyecto 40 | attributes: 41 | label: Descripción del Proyecto 42 | description: Breve descripción de lo que hace tu proyecto 43 | placeholder: Mi proyecto te permite recuperar el ALT de las imágenes... 44 | validations: 45 | required: true 46 | - type: input 47 | id: repositorio-codigo 48 | attributes: 49 | label: Repositorio de Código 50 | description: Enlace al repositorio del proyecto (GitHub, GitLab, etc.) 51 | placeholder: https://github.com/tu-proyecto 52 | validations: 53 | required: true 54 | - type: input 55 | id: demostracion-vivo 56 | attributes: 57 | label: Proyecto desplegado 58 | description: Enlace a la demostración del proyecto, si aplica 59 | placeholder: https://tu-demostracion.com 60 | - type: markdown 61 | attributes: 62 | value: "## Extra" 63 | - type: textarea 64 | id: instrucciones-configuracion 65 | attributes: 66 | label: Instrucciones de Configuración 67 | description: Pasos para configurar y ejecutar el proyecto 68 | placeholder: "Extensión de Chrome. Instálala siguiendo el README y entra en una página, luego pulsa el icono para que funcione." -------------------------------------------------------------------------------- /.github/ISSUE_TEMPLATE/registro-hackathon-vercel.md: -------------------------------------------------------------------------------- 1 | 2 | -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | .DS_Store 2 | node_modules 3 | .next 4 | .env.local 5 | .env -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | [![Issues][issues-badge]][issues-url] 2 | 3 | ![Vercel AI](https://github.com/vercel/ai/blob/main/assets/hero.gif?raw=true) 4 | 5 |
6 | Tabla de contenido 7 | 8 | - [Cómo participar en la Hackatón](#cómo-participar-en-la-hackatón) 9 | - [¿Qué es una Hackatón?](#qué-es-una-hackatón) 10 | - [🎁 Premios de la Hackatón](#-premios-de-la-hackatón) 11 | - [Sorteo entre los que participan](#sorteo-entre-los-que-participan) 12 | - [Fechas](#fechas) 13 | - [Templates disponibles para empezar](#templates-disponibles-para-empezar) 14 | - [💬 Preguntas frecuentes](#-preguntas-frecuentes) 15 |
16 | 17 | # Cómo participar en la Hackatón 18 | 19 | Para participar debes crear un proyecto que use [Vercel SDK AI](https://sdk.vercel.ai/docs/introduction). 20 | 21 | **Puedes usar el framework que quieras** y desplegar tu proyecto donde prefieras. 22 | 23 | Una vez tengas el **proyecto listo**, debes introducir la información de tu proyecto aquí: 24 | 25 | [Regístrate aquí](https://github.com/midudev/hackaton-vercel-2024/issues/new?assignees=&labels=registro&projects=&template=register.yml&title=%5BParticipaci%C3%B3n%5D%3A+%3Cinserta-aqui-tu-nick-o-nombre%3E) 26 | 27 | ## ¿Qué es una Hackatón? 28 | 29 | Una hackaton es una actividad de desarrollo de software donde los participantes trabajan en solitario o en grupo para resolver un problema o desafío específico en un tiempo determinado. 30 | 31 | **La idea** es que los participantes **aprendan** a trabajar en equipo y a **resolver** problemas de manera creativa y colaborativa. 32 | 33 | ## 🎁 Premios de la Hackatón 34 | 35 | - 🥇 $500 + Vercel Credits + Swag Vercel Box 36 | - 🥈 $250 + Vercel Credits + Swag Vercel Box 37 | - 🥉 $100 + Vercel Credits + Swag Vercel Box 38 | - 🎖️ Vercel Credits + Swag Vercel Box 39 | - 🎖️ Vercel Credits + Swag Vercel Box 40 | 41 | ![Fh9ImwIWYAMdkM-](https://github.com/midudev/hackaton-vercel-2024/assets/1561955/0590602a-20c9-4812-8215-857f4ad02ebb) 42 | 43 | > [!IMPORTANT] 44 | > El pago de la hackatón se hace por PayPal o similares. 45 | 46 | # Sorteo entre los que participan 47 | 48 | - [3x Libro de GitHub](https://leanpub.com/aprendiendo-git) 49 | 50 | # Fechas 51 | 52 | - 📅 **Fecha límite de inscripción:** 53 | 6 de Agosto de 2024 al terminar el [directo](https://www.twitch.tv/midudev) 54 | 55 | - 🗳️ **Votaciones finales en directo:** 56 | [Stream](https://www.twitch.tv/midudev) del 13 de Agosto de 2024 57 | 58 | ## Templates disponibles para empezar 59 | 60 | [Templates disponibles](https://sdk.vercel.ai/docs/introduction#templates) 61 | 62 | ## 💬 Preguntas frecuentes 63 | 64 |
65 | ¿Cómo puedo recibir ayuda? 66 | 67 | Puedes unirte a nuestro canal de [Discord](https://discord.gg/midudev) para recibir ayuda. 68 | 69 |
70 | 71 |
72 | ¿Tengo que usar React? 73 | 74 | No, puedes usar el framework que prefieras. Siempre y cuando puedas usar Vercel SDK AI en alguna parte de tu proyecto. 75 |
76 | 77 |
78 | ¿Tengo que usar Vercel? 79 | 80 | No, puedes desplegar tu aplicación donde prefieras. 81 |
82 | 83 |
84 | ¿Tengo que usar una AI de pago para participar? 85 | 86 | Sí, pero puedes hacer que tu proyecto sólo funcione al informar con una API KEY por parte del usuario. Sólo asegúrate que lo especifiques en el README de tu proyecto y al introducir tu participación. 87 | 88 |
89 | 90 | [issues-url]: https://github.com/midudev/hackaton-vercel-2024/issues 91 | [issues-badge]: https://img.shields.io/github/issues/midudev/hackaton-vercel-2024.svg?style=for-the-badge 92 | -------------------------------------------------------------------------------- /ejemplos/xx-ai-review-summary/LICENSE: -------------------------------------------------------------------------------- 1 | Copyright 2024 Vercel Inc 2 | 3 | Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: 4 | 5 | The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. 6 | 7 | THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. 8 | -------------------------------------------------------------------------------- /ejemplos/xx-ai-review-summary/README.md: -------------------------------------------------------------------------------- 1 | This is a demo of AI generated summaries of customer reviews for an e-commerce storefront. 2 | 3 | The demo takes a set of customer reviews, and uses an LLM to create summaries of those reviews. 4 | It then displays the summary and the reviews in a demo UI. 5 | 6 | The benefit of such an AI summary is that the user can get a quick overview of the sentiment 7 | of reviewers of the product without reading them all. 8 | 9 | [A deployed version can be found here.](https://review-summary.vercel.app/) 10 | 11 | [Install the template on Vercel](https://vercel.com/templates/next.js/customer-reviews-ai-summary-nextjs-vercel) 12 | 13 | ## Getting Started 14 | 15 | First, run the development server: 16 | 17 | ```bash 18 | pnpm dev 19 | ``` 20 | 21 | ## AI key 22 | 23 | This demo requires an API key for Perplexity's inference API. This can be installed via 24 | [Vercel's AI Marketplace](https://vercel.com/docs/integrations/ai). 25 | 26 | Any other LLM model can be connected via minimal changes to `lib/ai-summary.ts` through [Vercel's AI SDK](https://sdk.vercel.ai/docs). 27 | -------------------------------------------------------------------------------- /ejemplos/xx-ai-review-summary/app/[gameId]/page.tsx: -------------------------------------------------------------------------------- 1 | import { Reviews } from "@/components/reviews"; 2 | import { getGame, games } from "@/lib/data"; 3 | 4 | export default async function GamePage({ 5 | params: { gameId }, 6 | }: { 7 | params: { gameId: string }; 8 | }) { 9 | const game = await getGame(gameId); 10 | 11 | return ; 12 | } 13 | 14 | export async function generateStaticParams() { 15 | const gameIds = Object.keys(games); 16 | 17 | return gameIds.map((id) => ({ 18 | gameId: id, 19 | })); 20 | } 21 | -------------------------------------------------------------------------------- /ejemplos/xx-ai-review-summary/app/favicon.ico: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/midudev/hackaton-vercel-2024/8e867addcc41a983eb37809682400a38ac0a842a/ejemplos/xx-ai-review-summary/app/favicon.ico -------------------------------------------------------------------------------- /ejemplos/xx-ai-review-summary/app/globals.css: -------------------------------------------------------------------------------- 1 | @tailwind base; 2 | @tailwind components; 3 | @tailwind utilities; 4 | 5 | :root { 6 | --foreground-rgb: 0, 0, 0; 7 | --background-start-rgb: 214, 219, 220; 8 | --background-end-rgb: 255, 255, 255; 9 | } 10 | 11 | body { 12 | color: rgb(var(--foreground-rgb)); 13 | } 14 | 15 | @layer utilities { 16 | .text-balance { 17 | text-wrap: balance; 18 | } 19 | } 20 | -------------------------------------------------------------------------------- /ejemplos/xx-ai-review-summary/app/layout.tsx: -------------------------------------------------------------------------------- 1 | import type { Metadata } from "next"; 2 | import { Inter } from "next/font/google"; 3 | import "./globals.css"; 4 | import Link from "next/link"; 5 | import { games } from "@/lib/data"; 6 | 7 | const inter = Inter({ subsets: ["latin"] }); 8 | 9 | export const metadata: Metadata = { 10 | title: "Review summary", 11 | description: "AI summaries of user reviews for videogames", 12 | }; 13 | 14 | export default function RootLayout({ 15 | children, 16 | }: Readonly<{ 17 | children: React.ReactNode; 18 | }>) { 19 | return ( 20 | 21 | 22 | 33 |
{children}
34 | 35 | 36 | ); 37 | } 38 | -------------------------------------------------------------------------------- /ejemplos/xx-ai-review-summary/app/page.tsx: -------------------------------------------------------------------------------- 1 | import { Reviews } from "@/components/reviews"; 2 | import { getGame } from "@/lib/data"; 3 | 4 | export default async function Home() { 5 | const game = await getGame("the-last-of-us-part-ii-remastered"); 6 | 7 | return ; 8 | } 9 | -------------------------------------------------------------------------------- /ejemplos/xx-ai-review-summary/components.json: -------------------------------------------------------------------------------- 1 | { 2 | "$schema": "https://ui.shadcn.com/schema.json", 3 | "style": "default", 4 | "rsc": true, 5 | "tsx": true, 6 | "tailwind": { 7 | "config": "tailwind.config.ts", 8 | "css": "app/globals.css", 9 | "baseColor": "gray", 10 | "cssVariables": false 11 | }, 12 | "aliases": { 13 | "utils": "@/lib/utils", 14 | "components": "@/components" 15 | } 16 | } -------------------------------------------------------------------------------- /ejemplos/xx-ai-review-summary/components/ai-review-summary.tsx: -------------------------------------------------------------------------------- 1 | import { 2 | CardTitle, 3 | CardDescription, 4 | CardHeader, 5 | CardContent, 6 | Card, 7 | } from "@/components/ui/card"; 8 | import { Game } from "@/lib/types"; 9 | import { summarizeReviews } from "@/lib/ai-summary"; 10 | 11 | import { Score } from "./score"; 12 | 13 | export async function AIReviewSummary({ game }: { game: Game }) { 14 | if (!game) return null; 15 | 16 | const summary = await summarizeReviews(game.id); 17 | 18 | return ( 19 | 20 | 21 | 22 | 23 |
24 | {game.name} 25 | 26 | Basado en {game?.reviews?.length} valoraciones de usuarios 27 | 28 |
29 | 30 | 31 | 32 | 33 | 34 |

35 | {summary} 36 |

37 | 38 | 39 | {game.name} 40 | 41 | ); 42 | } 43 | -------------------------------------------------------------------------------- /ejemplos/xx-ai-review-summary/components/reviews.tsx: -------------------------------------------------------------------------------- 1 | import { AvatarImage, AvatarFallback, Avatar } from "@/components/ui/avatar"; 2 | import { Game, Review as ReviewType } from "@/lib/types"; 3 | import ms from "ms"; 4 | import { Score } from "./score"; 5 | import { AIReviewSummary } from "./ai-review-summary"; 6 | 7 | export async function Reviews({ game }: { game: Game }) { 8 | return ( 9 |
10 | 11 | {game?.reviews?.map((review) => ( 12 |
13 | 14 |
15 | ))} 16 |
17 | ); 18 | } 19 | 20 | export function Review({ review }: { review: ReviewType }) { 21 | const date = new Date(review.date); 22 | 23 | return ( 24 |
25 | 26 | 27 | CN 28 | 29 |
30 |
31 |
32 |

{review.author}

33 | 39 |
40 |
41 | 42 |
43 |
44 |
45 |

{review.quote}

46 |
47 |
48 |
49 | ); 50 | } 51 | 52 | /** 53 | * You probably want to wrap the parent element of this component with `suppressHydrationWarning` 54 | */ 55 | const timeAgo = (date: Date, suffix = true) => { 56 | if (Date.now() - date.getTime() < 1000) { 57 | return "Ahora"; 58 | } 59 | 60 | return `hace ${ms(Date.now() - date.getTime(), { long: true })}` 61 | }; 62 | -------------------------------------------------------------------------------- /ejemplos/xx-ai-review-summary/components/score.tsx: -------------------------------------------------------------------------------- 1 | export function Score({ rating, maxScore = 100 }: { rating: number, maxScore?: number }) { 2 | 3 | const getBackgroundColor = (score: number) => { 4 | const percentage = (score / maxScore) * 100; 5 | if (percentage <= 40) return 'bg-red-500'; 6 | if (percentage <= 60) return 'bg-yellow-500'; 7 | return 'bg-green-500'; 8 | }; 9 | 10 | return ( 11 |
12 | {rating} 13 |
14 | ); 15 | } -------------------------------------------------------------------------------- /ejemplos/xx-ai-review-summary/components/ui/avatar.tsx: -------------------------------------------------------------------------------- 1 | "use client" 2 | 3 | import * as React from "react" 4 | import * as AvatarPrimitive from "@radix-ui/react-avatar" 5 | 6 | import { cn } from "@/lib/utils" 7 | 8 | const Avatar = React.forwardRef< 9 | React.ElementRef, 10 | React.ComponentPropsWithoutRef 11 | >(({ className, ...props }, ref) => ( 12 | 20 | )) 21 | Avatar.displayName = AvatarPrimitive.Root.displayName 22 | 23 | const AvatarImage = React.forwardRef< 24 | React.ElementRef, 25 | React.ComponentPropsWithoutRef 26 | >(({ className, ...props }, ref) => ( 27 | 32 | )) 33 | AvatarImage.displayName = AvatarPrimitive.Image.displayName 34 | 35 | const AvatarFallback = React.forwardRef< 36 | React.ElementRef, 37 | React.ComponentPropsWithoutRef 38 | >(({ className, ...props }, ref) => ( 39 | 47 | )) 48 | AvatarFallback.displayName = AvatarPrimitive.Fallback.displayName 49 | 50 | export { Avatar, AvatarImage, AvatarFallback } 51 | -------------------------------------------------------------------------------- /ejemplos/xx-ai-review-summary/components/ui/card.tsx: -------------------------------------------------------------------------------- 1 | import * as React from "react" 2 | 3 | import { cn } from "@/lib/utils" 4 | 5 | const Card = React.forwardRef< 6 | HTMLDivElement, 7 | React.HTMLAttributes 8 | >(({ className, ...props }, ref) => ( 9 |
17 | )) 18 | Card.displayName = "Card" 19 | 20 | const CardHeader = React.forwardRef< 21 | HTMLDivElement, 22 | React.HTMLAttributes 23 | >(({ className, ...props }, ref) => ( 24 |
29 | )) 30 | CardHeader.displayName = "CardHeader" 31 | 32 | const CardTitle = React.forwardRef< 33 | HTMLParagraphElement, 34 | React.HTMLAttributes 35 | >(({ className, ...props }, ref) => ( 36 |

44 | )) 45 | CardTitle.displayName = "CardTitle" 46 | 47 | const CardDescription = React.forwardRef< 48 | HTMLParagraphElement, 49 | React.HTMLAttributes 50 | >(({ className, ...props }, ref) => ( 51 |

56 | )) 57 | CardDescription.displayName = "CardDescription" 58 | 59 | const CardContent = React.forwardRef< 60 | HTMLDivElement, 61 | React.HTMLAttributes 62 | >(({ className, ...props }, ref) => ( 63 |

64 | )) 65 | CardContent.displayName = "CardContent" 66 | 67 | const CardFooter = React.forwardRef< 68 | HTMLDivElement, 69 | React.HTMLAttributes 70 | >(({ className, ...props }, ref) => ( 71 |
76 | )) 77 | CardFooter.displayName = "CardFooter" 78 | 79 | export { Card, CardHeader, CardFooter, CardTitle, CardDescription, CardContent } 80 | -------------------------------------------------------------------------------- /ejemplos/xx-ai-review-summary/components/ui/separator.tsx: -------------------------------------------------------------------------------- 1 | "use client" 2 | 3 | import * as React from "react" 4 | import * as SeparatorPrimitive from "@radix-ui/react-separator" 5 | 6 | import { cn } from "@/lib/utils" 7 | 8 | const Separator = React.forwardRef< 9 | React.ElementRef, 10 | React.ComponentPropsWithoutRef 11 | >( 12 | ( 13 | { className, orientation = "horizontal", decorative = true, ...props }, 14 | ref 15 | ) => ( 16 | 27 | ) 28 | ) 29 | Separator.displayName = SeparatorPrimitive.Root.displayName 30 | 31 | export { Separator } 32 | -------------------------------------------------------------------------------- /ejemplos/xx-ai-review-summary/lib/ai-summary.ts: -------------------------------------------------------------------------------- 1 | import OpenAI from "openai"; 2 | import { GameId, Review } from "./types"; 3 | import { OpenAIStream, StreamingTextResponse } from 'ai' // Vercel AI SDK *** 4 | 5 | if (!process.env.PERPLEXITY_API_KEY) { 6 | throw new Error( 7 | "PERPLEXITY_API_KEY environment variable is required. You can get this via https://vercel.com/docs/integrations/ai" 8 | ); 9 | } 10 | 11 | const perplexity = new OpenAI({ 12 | apiKey: process.env.PERPLEXITY_API_KEY || "", 13 | baseURL: "https://api.perplexity.ai", 14 | }); 15 | 16 | function buildPrompt(prompt: string): [{ role: "user"; content: string }] { 17 | return [ 18 | { 19 | role: "user", 20 | content: prompt, 21 | }, 22 | ]; 23 | } 24 | 25 | 26 | 27 | export async function summarizeReviews(gameId: GameId) { 28 | const metaCriticURL = `https://internal-prod.apigee.fandom.net/v1/xapi/composer/metacritic/pages/games-user-reviews/${gameId}/platform/playstation-5/web?filter=all&sort=date&apiKey=1MOZgmNFxvmljaQR1X9KAij9Mo4xAY3u` 29 | 30 | const res = await fetch(metaCriticURL); 31 | const data = await res.json(); 32 | 33 | const { components } = data 34 | const [rawInfo, _, rawReviews] = components 35 | 36 | const { data: { item: { criticScoreSummary, title } } } = rawInfo 37 | const { score } = criticScoreSummary 38 | 39 | const { data: { items } } = rawReviews 40 | 41 | const prompt = `Escribe un resumen de las valoraciones de usuarios del videojuego ${title} en español. La puntuación es ${score} de 100. 42 | 43 | Usa este tono según la puntuación del videojuego: 44 | - De 0 a 40: negativo 45 | - De 41 a 60: neutral 46 | - De 61 a 80: positivo 47 | - De 81 a 100: muy positivo 48 | 49 | Recibirás una lista de valoraciones de usuarios en diferentes idiomas pero tu resumen debe estar en español. 50 | Tu objetivo es resaltar los temas más comunes y las emociones expresaddas por los usuarios. 51 | Si hay varios temas, intenta capturar los más importantes. 52 | Divídela en 4 párrafos cortos. Máximo 30 palabras en total. 53 | No vuelvas a repetir la puntuación. 54 | No hagas referencias a puntuaciones concretas ni a la fecha de la valoración. 55 | 56 | Estas son las valoraciones de los usuarios: 57 | ${items.map((item: Review) => item.quote).join('\n')} 58 | ` 59 | const query = { 60 | model: 'llama-3-sonar-large-32k-chat', 61 | stream: true, 62 | messages: buildPrompt(prompt), 63 | max_tokens: 1000, 64 | temperature: 0.75, 65 | frequency_penalty: 1, 66 | } as const 67 | 68 | const response = await perplexity.chat.completions.create(query) 69 | 70 | const stream = OpenAIStream(response) 71 | 72 | const streamingResponse = new StreamingTextResponse(stream) 73 | return await streamingResponse.text() 74 | } 75 | -------------------------------------------------------------------------------- /ejemplos/xx-ai-review-summary/lib/data.ts: -------------------------------------------------------------------------------- 1 | import { Game } from "./types"; 2 | 3 | export async function getGame(id: string) { 4 | const metaCriticURL = `https://internal-prod.apigee.fandom.net/v1/xapi/composer/metacritic/pages/games-user-reviews/${id}/platform/playstation-5/web?filter=all&sort=date&apiKey=1MOZgmNFxvmljaQR1X9KAij9Mo4xAY3u` 5 | 6 | const response = await fetch(metaCriticURL); 7 | const data = await response.json(); 8 | 9 | // const rawInfo = data[0] 10 | // const rawReviews = data[2] 11 | const { components } = data 12 | const [rawInfo, _, rawReviews] = components 13 | 14 | const { data: { item: { criticScoreSummary, title, images } } } = rawInfo 15 | const { score } = criticScoreSummary 16 | 17 | const { bucketPath, bucketType } = images[0] 18 | const img = `https://www.metacritic.com/a/img/${bucketType}${bucketPath}` 19 | 20 | const { data: { items } } = rawReviews 21 | 22 | return { id, name: title, img, score, reviews: items } 23 | 24 | } 25 | 26 | export const games = { 27 | 'the-last-of-us-part-ii-remastered': 'The Last of Us', 28 | 'the-callisto-protocol': 'The Callisto Protocol', 29 | 'the-lord-of-the-rings-gollum': 'The Lord of the Rings: Gollum' 30 | } 31 | -------------------------------------------------------------------------------- /ejemplos/xx-ai-review-summary/lib/types.ts: -------------------------------------------------------------------------------- 1 | export interface Review { 2 | id: string; 3 | score: number 4 | author: string; 5 | quote: string; 6 | date: string; 7 | } 8 | 9 | export type GameId = string 10 | 11 | export interface Game { 12 | id: GameId; 13 | name: string; 14 | reviews: Review[]; 15 | score: number 16 | img: string; 17 | } 18 | -------------------------------------------------------------------------------- /ejemplos/xx-ai-review-summary/lib/utils.ts: -------------------------------------------------------------------------------- 1 | import { type ClassValue, clsx } from "clsx" 2 | import { twMerge } from "tailwind-merge" 3 | 4 | export function cn(...inputs: ClassValue[]) { 5 | return twMerge(clsx(inputs)) 6 | } 7 | -------------------------------------------------------------------------------- /ejemplos/xx-ai-review-summary/next-env.d.ts: -------------------------------------------------------------------------------- 1 | /// 2 | /// 3 | 4 | // NOTE: This file should not be edited 5 | // see https://nextjs.org/docs/basic-features/typescript for more information. 6 | -------------------------------------------------------------------------------- /ejemplos/xx-ai-review-summary/next.config.mjs: -------------------------------------------------------------------------------- 1 | /** @type {import('next').NextConfig} */ 2 | const nextConfig = {}; 3 | 4 | export default nextConfig; 5 | -------------------------------------------------------------------------------- /ejemplos/xx-ai-review-summary/package.json: -------------------------------------------------------------------------------- 1 | { 2 | "name": "review-summary", 3 | "version": "0.1.0", 4 | "private": true, 5 | "scripts": { 6 | "dev": "next dev", 7 | "build": "next build", 8 | "start": "next start", 9 | "lint": "next lint" 10 | }, 11 | "dependencies": { 12 | "@radix-ui/react-avatar": "^1.0.4", 13 | "@radix-ui/react-icons": "^1.3.0", 14 | "@radix-ui/react-separator": "^1.0.3", 15 | "@types/ms": "^0.7.34", 16 | "ai": "^2.2.35", 17 | "class-variance-authority": "^0.7.0", 18 | "clsx": "^2.1.0", 19 | "lucide-react": "^0.331.0", 20 | "ms": "^2.1.3", 21 | "next": "14.1.0", 22 | "openai": "^4.28.0", 23 | "react": "^18", 24 | "react-dom": "^18", 25 | "tailwind-merge": "^2.2.1", 26 | "tailwindcss-animate": "^1.0.7" 27 | }, 28 | "devDependencies": { 29 | "@types/node": "^20", 30 | "@types/react": "^18", 31 | "@types/react-dom": "^18", 32 | "autoprefixer": "^10.0.1", 33 | "postcss": "^8", 34 | "tailwindcss": "^3.3.0", 35 | "typescript": "^5" 36 | } 37 | } 38 | -------------------------------------------------------------------------------- /ejemplos/xx-ai-review-summary/pnpm-lock.yaml: 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module.exports = { 2 | plugins: { 3 | tailwindcss: {}, 4 | autoprefixer: {}, 5 | }, 6 | }; 7 | -------------------------------------------------------------------------------- /ejemplos/xx-ai-review-summary/public/next.svg: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /ejemplos/xx-ai-review-summary/public/placeholder-user.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/midudev/hackaton-vercel-2024/8e867addcc41a983eb37809682400a38ac0a842a/ejemplos/xx-ai-review-summary/public/placeholder-user.jpg -------------------------------------------------------------------------------- /ejemplos/xx-ai-review-summary/public/vercel.svg: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /ejemplos/xx-ai-review-summary/tailwind.config.ts: -------------------------------------------------------------------------------- 1 | import type { Config } from "tailwindcss"; 2 | 3 | const config: Config = { 4 | content: [ 5 | "./pages/**/*.{js,ts,jsx,tsx,mdx}", 6 | "./components/**/*.{js,ts,jsx,tsx,mdx}", 7 | "./app/**/*.{js,ts,jsx,tsx,mdx}", 8 | ], 9 | theme: { 10 | extend: { 11 | backgroundImage: { 12 | "gradient-radial": "radial-gradient(var(--tw-gradient-stops))", 13 | "gradient-conic": 14 | "conic-gradient(from 180deg at 50% 50%, var(--tw-gradient-stops))", 15 | }, 16 | }, 17 | }, 18 | plugins: [require("tailwindcss-animate")], 19 | }; 20 | export default config; 21 | -------------------------------------------------------------------------------- /ejemplos/xx-ai-review-summary/tsconfig.json: -------------------------------------------------------------------------------- 1 | { 2 | "compilerOptions": { 3 | "lib": ["dom", "dom.iterable", "esnext"], 4 | "allowJs": true, 5 | "skipLibCheck": true, 6 | "strict": true, 7 | "noEmit": true, 8 | "esModuleInterop": true, 9 | "module": "esnext", 10 | "moduleResolution": "bundler", 11 | "resolveJsonModule": true, 12 | "isolatedModules": true, 13 | "jsx": "preserve", 14 | "incremental": true, 15 | "plugins": [ 16 | { 17 | "name": "next" 18 | } 19 | ], 20 | "paths": { 21 | "@/*": ["./*"] 22 | } 23 | }, 24 | "include": ["next-env.d.ts", "**/*.ts", "**/*.tsx", ".next/types/**/*.ts"], 25 | "exclude": ["node_modules"] 26 | } 27 | -------------------------------------------------------------------------------- /ejemplos/xx-chat-node/.gitignore: -------------------------------------------------------------------------------- 1 | .env 2 | node_modules -------------------------------------------------------------------------------- /ejemplos/xx-chat-node/README.md: -------------------------------------------------------------------------------- 1 | # Proyecto de Node 2 | 3 | pnpm add ai @ai-sdk/openai dotenv 4 | pnpm add -D @types/node tsx typescript 5 | 6 | ```ts 7 | // para leer lo que escribes en la terminal 8 | import * as readline from 'node:readline/promises' 9 | // traemos las dependencias necesarias 10 | import { type CoreMessage, streamText } from 'ai' 11 | // el cliente de OpenAI 12 | import { openai } from '@ai-sdk/openai' 13 | // para leer las variables de entorno 14 | import dotenv from 'dotenv' 15 | dotenv.config() 16 | 17 | // creamos la interfaz de terminal para leer y escribir 18 | const terminal = readline.createInterface({ 19 | input: process.stdin, 20 | output: process.stdout, 21 | }) 22 | 23 | // array con los mensajes de la conversación 24 | const messages: CoreMessage[] = [] 25 | 26 | async function main() { 27 | // loop infinito para leer y escribir continuamente 28 | while (true) { 29 | // preguntamos en la terminal al usuario que escriba 30 | const userInput = await terminal.question('Tú: ') 31 | // añadimos el mensaje al array 32 | messages.push({ role: 'user', content: userInput }) 33 | // preguntamos a chatgpt para responder 34 | // con este mensaje y todos los demás 35 | const result = await streamText({ 36 | model: openai('gpt-4-turbo'), 37 | system: `Eres un asistente útil, honesto y educado.`, 38 | messages, 39 | }) 40 | 41 | // vamos a guardar el resultado de la conversación poco a poco 42 | let fullResponse = '' 43 | process.stdout.write('\nChatGPT: ') 44 | 45 | // conforme recibimos información de chatgpt, hacemos algo 46 | for await (const part of result.textStream) { 47 | fullResponse += part // vamos guardando el resultado en el array 48 | process.stdout.write(part) // vamos mostrando el resultado en la terminal 49 | } 50 | 51 | // terminamos la conversación con un salto de línea 52 | process.stdout.write('\n\n') 53 | // guardamos el mensaje final de chatgpt en el array 54 | messages.push({ role: 'assistant', content: fullResponse }) 55 | // volvemos al inicio del bucle para preguntar de nuevo al usuario 56 | } 57 | } 58 | 59 | main().catch(console.error) 60 | ``` -------------------------------------------------------------------------------- /ejemplos/xx-chat-node/chatgpt.js: -------------------------------------------------------------------------------- 1 | import * as readline from 'node:readline/promises' 2 | import { streamText } from 'ai' 3 | import { openai } from '@ai-sdk/openai' 4 | 5 | process.env.OPENAI_API_KEY = "sk-proj-LZm1eP3..." 6 | 7 | const terminal = readline.createInterface({ 8 | input: process.stdin, 9 | output: process.stdout, 10 | }) 11 | 12 | const messages = [] 13 | 14 | async function main() { 15 | while (true) { 16 | const userInput = await terminal.question('Tú: ') 17 | messages.push({ role: 'user', content: userInput }) 18 | 19 | const result = await streamText({ 20 | model: openai('gpt-4-turbo'), 21 | system: `Eres un asistente útil, honesto y educado.`, 22 | messages, 23 | }) 24 | 25 | let fullResponse = '' 26 | process.stdout.write('\nChatGPT: ') 27 | 28 | for await (const part of result.textStream) { 29 | fullResponse += part 30 | process.stdout.write(part) 31 | } 32 | 33 | process.stdout.write('\n\n') 34 | messages.push({ role: 'assistant', content: fullResponse }) 35 | } 36 | } 37 | 38 | main().catch(console.error) -------------------------------------------------------------------------------- /ejemplos/xx-chat-node/index.ts: -------------------------------------------------------------------------------- 1 | // para leer lo que escribes en la terminal 2 | import * as readline from 'node:readline/promises' 3 | // traemos las dependencias necesarias 4 | import { type CoreMessage, streamText } from 'ai' // vercel sdk AI 5 | // el cliente de OpenAI 6 | import { openai } from '@ai-sdk/openai' 7 | // para leer las variables de entorno 8 | import dotenv from 'dotenv' 9 | dotenv.config() 10 | 11 | // creamos la interfaz de terminal para leer y escribir 12 | const terminal = readline.createInterface({ 13 | input: process.stdin, 14 | output: process.stdout, 15 | }) 16 | 17 | // array con los mensajes de la conversación 18 | const messages: CoreMessage[] = [] 19 | 20 | async function main() { 21 | // loop infinito para leer y escribir continuamente 22 | while (true) { 23 | // preguntamos en la terminal al usuario que escriba 24 | const userInput = await terminal.question('Tú: ') 25 | // añadimos el mensaje al array 26 | messages.push({ role: 'user', content: userInput }) 27 | // preguntamos a chatgpt para responder 28 | // con este mensaje y todos los demás 29 | const result = await streamText({ 30 | model: openai('gpt-4-turbo'), 31 | system: `Eres un asistente que tiene acento francés. Haz que tus respuestas se note que hablas en español pero con un deje francés.`, 32 | messages, 33 | }) 34 | 35 | // vamos a guardar el resultado de la conversación poco a poco 36 | let fullResponse = '' 37 | process.stdout.write('\nChatGPT: ') 38 | 39 | // conforme recibimos información de chatgpt, hacemos algo 40 | for await (const part of result.textStream) { 41 | fullResponse += part // vamos guardando el resultado en el array 42 | process.stdout.write(part) // vamos mostrando el resultado en la terminal 43 | } 44 | 45 | // terminamos la conversación con un salto de línea 46 | process.stdout.write('\n\n') 47 | // guardamos el mensaje final de chatgpt en el array 48 | messages.push({ role: 'assistant', content: fullResponse }) 49 | // volvemos al inicio del bucle para preguntar de nuevo al usuario 50 | } 51 | } 52 | 53 | main().catch(console.error) -------------------------------------------------------------------------------- /ejemplos/xx-chat-node/package.json: -------------------------------------------------------------------------------- 1 | { 2 | "name": "xx-chat-node", 3 | "version": "1.0.0", 4 | "main": "index.js", 5 | "scripts": { 6 | "test": "echo \"Error: no test specified\" && exit 1" 7 | }, 8 | "keywords": [], 9 | "author": "", 10 | "license": "ISC", 11 | "description": "", 12 | "dependencies": { 13 | "@ai-sdk/openai": "0.0.35", 14 | "ai": "3.2.18", 15 | "dotenv": "16.4.5", 16 | "zod": "3.23.8" 17 | }, 18 | "devDependencies": { 19 | "@types/node": "20.14.10", 20 | "tsx": "4.16.2", 21 | "typescript": "5.5.3" 22 | } 23 | } 24 | -------------------------------------------------------------------------------- /ejemplos/xx-chat-node/pnpm-lock.yaml: -------------------------------------------------------------------------------- 1 | lockfileVersion: '9.0' 2 | 3 | settings: 4 | autoInstallPeers: true 5 | excludeLinksFromLockfile: false 6 | 7 | importers: 8 | 9 | .: 10 | dependencies: 11 | '@ai-sdk/openai': 12 | specifier: ^0.0.35 13 | 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