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Machine learning model API deployed on Heroku with Docker!

Dockerfile 4.85% Python 95.15%
ml api ai deployment docker heroku flask

api-simple-demo's Introduction

API-SIMPLE-DEMO

Simple API that train and predict on a model for Iris dataset.

In production

https://api-demo-becode.herokuapp.com/

Folder architecture

-
-- README.md
-- App.py
-- Training
---- training.py
-- Models
---- Model.pickle

Application features

Routes

  • / -> alive
  • /train -> Train the model and save it
  • /predict -> Return a prediction

Docker informations

Build

docker build -t api-demo .

Run

With volumes:

docker run -v $PWD:/app -p 5000:5000 -it api-demo bash

Without:

docker run -p 5000:5000 -it api-demo bash

Without interactive mode:

docker run -p 5000:5000 -t api-demo

VScode extension

  • Remote container
  • Docker

api-simple-demo's People

Contributors

graphtylove avatar

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