文件列表:

.example.env (16, 2023-02-17)
components (0, 2023-02-17)
components\Footer.tsx (2166, 2023-02-17)
components\GitHub.tsx (1023, 2023-02-17)
components\Header.tsx (1305, 2023-02-17)
components\SquigglyLines.tsx (1209, 2023-02-17)
next.config.js (87, 2023-02-17)
package.json (709, 2023-02-17)
pages (0, 2023-02-17)
pages\[...slug].tsx (5074, 2023-02-17)
pages\_app.tsx (202, 2023-02-17)
pages\_document.tsx (983, 2023-02-17)
pages\api (0, 2023-02-17)
pages\api\summarize.ts (1430, 2023-02-17)
pages\index.tsx (54, 2023-02-17)
pnpm-lock.yaml (32938, 2023-02-17)
postcss.config.js (82, 2023-02-17)
public (0, 2023-02-17)
public\favicon.ico (15086, 2023-02-17)
public\loading.svg (496, 2023-02-17)
public\screenshot.png (190833, 2023-02-17)
public\vercel.svg (1101, 2023-02-17)
styles (0, 2023-02-17)
styles\globals.css (99, 2023-02-17)
tailwind.config.js (373, 2023-02-17)
tsconfig.json (509, 2023-02-17)
utils (0, 2023-02-17)
utils\OpenAIStream.ts (2088, 2023-02-17)

# [EmolResume](https://www.emolresumen.vercel.app) This project summarizes Emol articles for you using AI. [](https://www.emolresumen.vercel.app) ## Inspired by This project was inspired by [TechCrunchSummary.com](https://www.techcrunchsummary.com/), which is a similar project built by [@Nutlope](https://github.com/Nutlope). ## How it works This project uses the [OpenAI GPT-3 API](https://openai.com/api/) (specifically, text-davinci-003) and [Vercel Edge functions](https://vercel.com/features/edge-functions) with streaming. It fetches the content on a Emol article, sends it in a prompt to the GPT-3 API to summarize it via a Vercel Edge function, then streams the response back to the application. ## Running Locally After cloning the repo, go to [OpenAI](https://beta.openai.com/account/api-keys) to make an account and put your API key in a file called `.env`. Then, run the application in the command line and it will be available at `http://localhost:3000`. ```bash pnpm dev ```

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