Run and deploy your AI Studio app

This contains everything you need to run your app locally.

View your app in AI Studio: https://ai.studio/apps/drive/1OUp6mUePBedokruaOvSQFPBS7w5gKKW6

Run Locally

Prerequisites: Node.js

1. Install dependencies: npm install
2. Create .env.local file with your API keys (see below)
3. Run the app: npm run dev

Environment Variables

Create a .env.local file in the project root:

# Text API (DeepSeek or Zhipu AI - OpenAI compatible)
TEXT_API_KEY=your_text_api_key_here
TEXT_API_BASE_URL=https://api.deepseek.com
TEXT_API_MODEL=deepseek-chat

# Image API (SiliconFlow - OpenAI compatible)
IMAGE_API_KEY=your_image_api_key_here
IMAGE_API_BASE_URL=https://api.siliconflow.cn/v1
IMAGE_API_MODEL=stabilityai/stable-diffusion-3-5b

Alternative Text API Options

DeepSeek:

TEXT_API_BASE_URL=https://api.deepseek.com
TEXT_API_MODEL=deepseek-chat

Zhipu AI (智谱):

TEXT_API_BASE_URL=https://open.bigmodel.cn/api/paas
TEXT_API_MODEL=glm-4

Alternative Image API Options

Qwen Image (default):

IMAGE_API_MODEL=Qwen/Qwen-Image
IMAGE_API_BASE_URL=https://api.siliconflow.cn/v1

SiliconFlow also supports other models:

• black-forest-labs/FLUX.1-dev
• black-forest-labs/FLUX.1-schnell

See SiliconFlow Docs for more models.

Deploy to Vercel

1. Push code to GitHub
2. Connect repository to Vercel
3. Set environment variables in Vercel dashboard
4. Deploy