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{ | ||
"$schema": "https://json.schemastore.org/eslintrc", | ||
"root": true, | ||
"extends": [ | ||
"next/core-web-vitals", | ||
"prettier", | ||
"plugin:tailwindcss/recommended" | ||
], | ||
"plugins": ["tailwindcss"], | ||
"rules": { | ||
"tailwindcss/no-custom-classname": "off", | ||
"tailwindcss/classnames-order": "off" | ||
}, | ||
"settings": { | ||
"tailwindcss": { | ||
"callees": ["cn", "cva"], | ||
"config": "tailwind.config.js" | ||
} | ||
}, | ||
"overrides": [ | ||
{ | ||
"files": ["*.ts", "*.tsx"], | ||
"parser": "@typescript-eslint/parser" | ||
} | ||
] | ||
} |
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# See https://help.github.com/articles/ignoring-files/ for more about ignoring files. | ||
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# dependencies | ||
node_modules | ||
.pnp | ||
.pnp.js | ||
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# testing | ||
coverage | ||
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# next.js | ||
.next/ | ||
out/ | ||
build | ||
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# misc | ||
.DS_Store | ||
*.pem | ||
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# debug | ||
npm-debug.log* | ||
yarn-debug.log* | ||
yarn-error.log* | ||
.pnpm-debug.log* | ||
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# local env files | ||
.env.local | ||
.env.development.local | ||
.env.test.local | ||
.env.production.local | ||
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# turbo | ||
.turbo | ||
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.env | ||
.vercel | ||
.vscode | ||
.env*.local |
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Copyright 2023 Vercel, Inc. | ||
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Licensed under the Apache License, Version 2.0 (the "License"); | ||
you may not use this file except in compliance with the License. | ||
You may obtain a copy of the License at | ||
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http://www.apache.org/licenses/LICENSE-2.0 | ||
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Unless required by applicable law or agreed to in writing, software | ||
distributed under the License is distributed on an "AS IS" BASIS, | ||
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
See the License for the specific language governing permissions and | ||
limitations under the License. |
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<a href="https://aiweather.vercel.ai/"> | ||
<img alt="AIWeather: Weather forecasting with AI." src="https://aiweather.vercel.rocks/og.png"> | ||
<h1 align="center">AIWeather: Weather Forecasting with AI</h1> | ||
</a> | ||
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<p align="center"> | ||
An open-source AI weather forecasting app built with Next.js, the Vercel AI SDK, Google Gemini, and OpenWeather API. | ||
</p> | ||
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<p align="center"> | ||
<a href="#features"><strong>Features</strong></a> · | ||
<a href="#model-providers"><strong>Model Providers</strong></a> · | ||
<a href="#deploy-your-own"><strong>Deploy Your Own</strong></a> · | ||
<a href="#running-locally"><strong>Running locally</strong></a> · | ||
<a href="#authors"><strong>Authors</strong></a> | ||
</p> | ||
<br/> | ||
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## Features | ||
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- [Next.js](https://nextjs.org) App Router | ||
- React Server Components (RSCs), Suspense, and Server Actions | ||
- [Vercel AI SDK](https://sdk.vercel.ai/docs) for streaming chat UI | ||
- Integration with Google Gemini and OpenWeather API for AI-powered weather forecasting | ||
- Styling with [Tailwind CSS](https://tailwindcss.com) | ||
- Icons from [Phosphor Icons](https://phosphoricons.com) | ||
- Session storage with [Vercel KV](https://vercel.com/storage/kv) | ||
- [NextAuth.js](https://github.com/nextauthjs/next-auth) for authentication | ||
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## Model Providers | ||
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This template ships with Google Gemini `models/gemini-1.0-pro-001` as the default. However, thanks to the [Vercel AI SDK](https://sdk.vercel.ai/docs), you can switch LLM providers to [OpenAI](https://openai.com), [Anthropic](https://anthropic.com), [Cohere](https://cohere.com/), [Hugging Face](https://huggingface.co), or using [LangChain](https://js.langchain.com) with just a few lines of code. | ||
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## Deploy Your Own | ||
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You can deploy your own version of the AIWeather to Vercel with one click: | ||
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[![Deploy with Vercel](https://vercel.com/button)](https://vercel.com/new/clone?demo-title=AIWeather&demo-description=A+full-featured%2C+hackable+Next.js+AI+weather+forecasting+built+by+Vercel+Labs&demo-url=https%3A%2F%2Faiweather.vercel.ai%2F&demo-image=%2F%2Fimages.ctfassets.net%2Fe5382hct74si%2F4aVPvWuTmBvzM5cEdRdqeW%2F4234f9baf160f68ffb385a43c3527645%2FCleanShot_2023-06-16_at_17.09.21.png&project-name=AIWeather&repository-name=aiweather&repository-url=https%3A%2F%2Fgithub.com%2Fvercel-labs%2Faiweather&from=templates&skippable-integrations=1&env=GOOGLE_GENERATIVE_AI_API_KEY%2CAUTH_SECRET&envDescription=How+to+get+these+env+vars&envLink=https%3A%2F%2Fgithub.com%2Fvercel-labs%2Faiweather%2Fblob%2Fmain%2F.env.example&teamCreateStatus=hidden&stores=[{%22type%22:%22kv%22}]) | ||
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## Running locally | ||
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You will need to use the environment variables [defined in `.env.example`](.env.example) to run AIWeather. It's recommended you use [Vercel Environment Variables](https://vercel.com/docs/projects/environment-variables) for this, but a `.env` file is all that is necessary. | ||
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> Note: You should not commit your `.env` file or it will expose secrets that will allow others to control access to your various Google Cloud and authentication provider accounts. | ||
1. Install Vercel CLI: `npm i -g vercel` | ||
2. Link local instance with Vercel and GitHub accounts (creates `.vercel` directory): `vercel link` | ||
3. Download your environment variables: `vercel env pull` | ||
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```bash | ||
pnpm install | ||
pnpm dev | ||
``` | ||
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Your app template should now be running on [localhost:3000](http://localhost:3000/). | ||
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## Authors | ||
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This library is created by [Vercel](https://vercel.com) and [Next.js](https://nextjs.org) team members, with contributions from: | ||
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- Jared Palmer ([@jaredpalmer](https://twitter.com/jaredpalmer)) - [Vercel](https://vercel.com) | ||
- Shu Ding ([@shuding\_](https://twitter.com/shuding_)) - [Vercel](https://vercel.com) | ||
- shadcn ([@shadcn](https://twitter.com/shadcn)) - [Vercel](https://vercel.com) | ||
- Jeremy Philemon ([@jrmyphlmn](https://twitter.com/jrmyphlmn)) - [Vercel](https://vercel.com) | ||
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This project is adapted for AIWeather by Ivander Andreas Wijaya |
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import { type Metadata } from 'next' | ||
import { notFound, redirect } from 'next/navigation' | ||
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import { auth } from '@/auth' | ||
import { getChat, getMissingKeys } from '@/app/actions' | ||
import { Chat } from '@/components/chat' | ||
import { AI } from '@/lib/chat/actions' | ||
import { Session } from '@/lib/types' | ||
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export interface ChatPageProps { | ||
params: { | ||
id: string | ||
} | ||
} | ||
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export async function generateMetadata({ | ||
params | ||
}: ChatPageProps): Promise<Metadata> { | ||
const session = await auth() | ||
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if (!session?.user) { | ||
return {} | ||
} | ||
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const chat = await getChat(params.id, session.user.id) | ||
return { | ||
title: chat?.title.toString().slice(0, 50) ?? 'Chat' | ||
} | ||
} | ||
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export default async function ChatPage({ params }: ChatPageProps) { | ||
const session = (await auth()) as Session | ||
const missingKeys = await getMissingKeys() | ||
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if (!session?.user) { | ||
redirect(`/login?next=/chat/${params.id}`) | ||
} | ||
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const userId = session.user.id as string | ||
const chat = await getChat(params.id, userId) | ||
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if (!chat) { | ||
redirect('/') | ||
} | ||
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if (chat?.userId !== session?.user?.id) { | ||
notFound() | ||
} | ||
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return ( | ||
<AI | ||
initialAIState={{ | ||
chatId: chat.id, | ||
messages: chat.messages, | ||
interactions: [] | ||
}} | ||
> | ||
<Chat | ||
id={chat.id} | ||
session={session} | ||
initialMessages={chat.messages} | ||
missingKeys={missingKeys} | ||
/> | ||
</AI> | ||
) | ||
} |
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'use client' | ||
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export default function Error({ | ||
error | ||
}: { | ||
error: Error & { digest?: string } | ||
}) { | ||
return ( | ||
<div className="container mx-auto px-4 py-8 text-center"> | ||
<h1 className="text-lg font-semibold mb-2"> | ||
Oops, something went wrong! | ||
</h1> | ||
<p> | ||
{error.message || 'The AI got rate limited, please try again later.'} | ||
</p> | ||
<p>Digest: {error.digest}</p> | ||
</div> | ||
) | ||
} |
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import { SidebarDesktop } from '@/components/sidebar-desktop' | ||
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interface ChatLayoutProps { | ||
children: React.ReactNode | ||
} | ||
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export default async function ChatLayout({ children }: ChatLayoutProps) { | ||
return ( | ||
<div className="relative flex h-[calc(100vh_-_theme(spacing.16))] overflow-hidden"> | ||
<SidebarDesktop /> | ||
{children} | ||
</div> | ||
) | ||
} |
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import { nanoid } from '@/lib/utils' | ||
import { Chat } from '@/components/chat' | ||
import { AI } from '@/lib/chat/actions' | ||
import { auth } from '@/auth' | ||
import { Session } from '@/lib/types' | ||
import { getMissingKeys } from '../actions' | ||
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export const metadata = { | ||
title: 'AIWeather' | ||
} | ||
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export default async function IndexPage() { | ||
const id = nanoid() | ||
const session = (await auth()) as Session | ||
const missingKeys = await getMissingKeys() | ||
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return ( | ||
<AI initialAIState={{ chatId: id, interactions: [], messages: [] }}> | ||
<Chat id={id} session={session} missingKeys={missingKeys} /> | ||
</AI> | ||
) | ||
} |
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'use client' | ||
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export default function Page() { | ||
return ( | ||
<div className="container mx-auto px-4 py-8 text-center"> | ||
<h1 className="text-lg font-semibold mb-2">You are in the queue</h1> | ||
<p>Please try again in a few minutes.</p> | ||
</div> | ||
) | ||
} |
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...01fa-4fb0-aad4-566afd725d1b/2d206a39-8ed7-437e-a3be-862e0f06eea3/[[...restpath]]/route.ts
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export const runtime = 'edge' | ||
export const dynamic = 'force-dynamic' | ||
export const maxDuration = 3 | ||
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async function handler(request: Request) { | ||
const url = new URL(request.url) | ||
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url.protocol = 'https:' | ||
url.host = process.env.KASADA_API_ENDPOINT || '' | ||
url.port = '' | ||
url.searchParams.delete('restpath') | ||
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const headers = new Headers(request.headers) | ||
headers.set('X-Forwarded-Host', process.env.KASADA_HEADER_HOST || '') | ||
headers.delete('host') | ||
const r = await fetch(url.toString(), { | ||
method: request.method, | ||
body: request.body, | ||
headers, | ||
mode: request.mode, | ||
redirect: 'manual', | ||
// @ts-expect-error | ||
duplex: 'half' | ||
}) | ||
const responseHeaders = new Headers(r.headers) | ||
responseHeaders.set('cdn-cache-control', 'no-cache') | ||
return new Response(r.body, { | ||
status: r.status, | ||
statusText: r.statusText, | ||
headers: responseHeaders | ||
}) | ||
} | ||
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export const GET = handler | ||
export const POST = handler | ||
export const OPTIONS = handler | ||
export const PUT = handler |
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