cad detect system

🛠 Getting Started

The app has a React/Vite frontend and a FastAPI backend and model serve is use ray serve.

Run the backend (I use Poetry for package management - pip install poetry if you don't have it):

cd backend
echo "OPENAI_API_KEY=sk-your-key" > .env
poetry install
poetry shell
poetry run uvicorn main:app --reload --port 8001

If you want to use Anthropic, add the ANTHROPIC_API_KEY to backend/.env with your API key from Anthropic.

Run the frontend:

cd frontend
yarn
yarn dev

Open http://localhost:5173 to use the app.

If you prefer to run the backend on a different port, update VITE_WS_BACKEND_URL in frontend/.env.local

Run model serve

cd modelserve
pip install -r requirements.txt
ray start --head
serve run ./config.yaml

Docker

If you have Docker installed on your system, in the root directory, run:

echo "OPENAI_API_KEY=sk-your-key" > .env
docker-compose up -d --build

The app will be up and running at http://localhost:5173. Note that you can't develop the application with this setup as the file changes won't trigger a rebuild.

Hubch/cad_recognition

cad detect system

🛠 Getting Started

Docker

🙋‍♂️ FAQs