Note: this repository is now archived. Please find this project in active development at https://github.com/choruslabs/chorus

This is an open-source web application implementing a polis-like algorithm for mapping high-dimensional opinion spaces.

The web API is written in FastAPI, a web framework for Python. You need to install Python before running the API.

Installation for Windows (instructions are minimally changed for Linux):

cd server
python -m venv venv
venv/Scripts/activate # (in Linux, use source venv/bin/activate)
pip install -r requirements.txt

Add an environment file .env in the server directory in the same format as sample.env, but replace:

• DATABASE_URL with the URL of your Postgres database (e.g., postgresql://user:password@localhost/dbname)
• SECRET_KEY with a random string (you can use openssl rand -hex 32 to generate one)
• ALLOWED_ORIGINS with a comma-separated list of allowed origins (e.g., http://localhost:5173 if you use the default Vite port)

To run the API (in auto-reload mode):

uvicorn convergent.main:app --reload

Go to http://localhost:8000/docs to check if it works: you should see a Swagger page.

To build & run locally via docker compose:

docker-compose build engine
docker-compose up --build

Or, to build the server image using Docker:

cd server
docker build -t convergent.server .

To run it on port 8000:

docker run -p 8000:8000 convergent.server

Go to http://localhost:8000/docs to check if it works: you should see a Swagger page.

The frontend requires https://nodejs.org/en to run and is written in Vite.

Installation using Node:

cd client
npm install

To run the frontend (in development mode):

npm run dev

To run in storybook mode:

npm run storybook