Develop and Deploy A Customer Churn Prediction Model using Python, Streamlit and Docker

Prerequisite:

An IDE/ Text Editor
Python 3.6+
PIP (or Anaconda)
Not required but recommended: An environment management tool such as pipenv, venv, virtualend, conda.
Docker Desktop

pip3 install -r Pipfile

 python3 stream_app.py

You can now view your Streamlit app in your browser.

  Local URL: http://localhost:8501
  Network URL: http://192.168.1.23:8501

https://www.docker.com/blog/how-to-develop-and-deploy-a-customer-churn-prediction-model-using-python-streamlit-and-docker/