Flask APIs

This example uses Flask to make a model developed in Python available as a REST API in Connect, allowing other teams and tools to take advantage of the data science model developed in Python. In addition to serving the model, Flask is also used to serve a very simple web form to facilitate calls to the model.

The source code is available in this Git repository.

Other Frameworks

Screenshot of Flask API deployed with Swagger documentation.

In addition to Flask, it is possible to take advantage of Flask extensions. For example, the popular flask-restx package can be used to automatically generate interactive documentation for your API. Connect knows how to host and serve that documentation when available.

Refer to the example code. The user guide provides more details and examples.

Publishing Flask APIs

Refer to the Connect user guide for more information on building and deploying models as Flask APIs. To publish, you can use the rsconnect-python package. This package is available to install with pip from PyPi. Once installed, a command line interface is available that allows you to publish to Connect from your favorite Python IDEs including PyCharm, VS Code, and others.