A fun AI driven human portrait scoring app.
├── app/ # Next.js app directory (routing, pages, layouts, API)
│ ├── api/ # API endpoints (Next.js Route Handlers)
│ │ ├── evaluate/ # /api/evaluate endpoint
│ │ │ └── route.ts
│ ├── image-upload/ # Image upload and evaluation page
│ │ └── page.tsx
│ ├── globals.css # Global styles
│ ├── layout.tsx # Root layout
│ └── page.tsx # Main landing page
├── components/ # (Empty) Place for shared React components
├── public/ # Static files (SVGs, images, etc.)
├── .env.local # Environment variables (not committed)
├── package.json # Project metadata and scripts
├── tsconfig.json # TypeScript configuration
└── ... # Other config and lock files
First, run the development server:
npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun dev
To use the OpenAI integration, create a .env.local
file in the project root with the following variables:
OPENAI_API_KEY=your_openai_api_key
OPENAI_BASE_URL=https://api.openai.com/v1
OPENAI_MODEL=gpt-4-vision-preview
# Optionally, customize the prompt:
OPENAI_PROMPT=Describe this image in 10 words.
Restart the development server after editing environment variables.
Open http://localhost:3000 with your browser to see the result.
You can start editing the page by modifying app/page.tsx
. The page auto-updates as you edit the file.
This project uses next/font
to automatically optimize and load Geist, a new font family for Vercel.
To learn more about Next.js, take a look at the following resources:
- Next.js Documentation - learn about Next.js features and API.
- Learn Next.js - an interactive Next.js tutorial.
You can check out the Next.js GitHub repository - your feedback and contributions are welcome!
The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.
Check out our Next.js deployment documentation for more details.