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Python application consisting of Streamlit, FastAPI, and MongoDB in Docker containers

Dockerfile 1.05% Jupyter Notebook 90.48% Python 8.47%
docker fastapi python streamlit mongodb

dockerized-python-app's Introduction

Docker project with Streamlit, FastAPI and MongoDB

This project is a demonstration of using Docker Compose to run a Python application consisting of Streamlit, FastAPI, and MongoDB in Docker containers.

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Prerequisites

Make sure you have Docker and Docker Compose installed on your machine.

Clone project

git clone https://github.com/moiseberthe/dockerized-python-app.git

Project structure

  • client/: Application Streamlit
  • server/: Application FastAPI
  • utils/: train models for iris and penguins classification

Docker setup

The Docker files (client/Dockerfile and server/Dockerfile) contain the build configurations for the Streamlit and FastAPI services.

The docker-compose.yml file contains the Docker configuration for the services.

Build and run containers

docker compose up --build

The project will be accessible at the following address:

App setup

Make sure to adjust the application files (client/app.py and server/app.py) according to your needs.

dockerized-python-app's People

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