.. role:: hidden :class: hidden-section Parse Address With Our Out-Of-The-Box API ========================================= We also offer an out-of-the-box RESTAPI to parse addresses using FastAPI. Installation ************ First, ensure that you have Docker Engine and Docker Compose installed on your machine. If not, you can install them using the following documentations in the following order: 1. `Docker Engine `_ 2. `Docker Compose `_ Once you have Docker Engine and Docker Compose installed, you can run the following command to start the FastAPI application: .. code-block:: sh docker compose up app Sentry ****** Also, you can monitor your application usage with `Sentry `_ by setting the environment variable ``SENTRY_DSN`` to your Sentry's project DSN. There is an example of the ``.env`` file in the project's root named ``.env_example``. You can copy it using the following command: .. code-block:: sh cp .env_example .env Request Examples ---------------- Once the application is up and running and port ``8000`` is exported on your localhost, you can send a request with one of the following methods: cURL POST request ~~~~~~~~~~~~~~~~~ .. code-block:: shell curl -X POST --location "http://127.0.0.1:8000/parse/bpemb-attention" --http1.1 \ -H "Host: 127.0.0.1:8000" \ -H "Content-Type: application/json" \ -d "[ {\"raw\": \"350 rue des Lilas Ouest Quebec city Quebec G1L 1B6\"}, {\"raw\": \"2325 Rue de l'Université, Québec, QC G1V 0A6\"} ]" Python POST request ~~~~~~~~~~~~~~~~~~~ .. code-block:: python import requests url = 'http://localhost:8000/parse/bpemb' addresses = [ {"raw": "350 rue des Lilas Ouest Quebec city Quebec G1L 1B6"}, {"raw": "2325 Rue de l'Université, Québec, QC G1V 0A6"} ] response = requests.post(url, json=addresses) parsed_addresses = response.json() print(parsed_addresses)