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Deploy Machine Learning Web Apps for Free
Machine Learning   Programming

Deploy Machine Learning Web Apps for Free

Last Updated on January 6, 2023 by Editorial Team

Author(s): Aniket Maurya

Machine Learning, Programming

In this tutorial, I will explain how to deploy any Python web app on HerokuΒ cloud.

Photo by Kevin Ku onΒ Unsplash

Deploying a Machine Learning model is a difficult task due to the requirement of large memory and powerful computation. This tutorial focuses on a simple deployment technique that can be used to deploy any Python web app forΒ free.

Read my previous article to learn how to build an β€œImage classification web app with FastAPI and Tensorflow”

I have also created a YouTube tutorial on Deploying Python app onΒ Heroku

First of all, you will need a Heroku id, so go now and register for a freeΒ account.

For deploying any Python app on Heroku, we need three files- requirements.txt, runtime.txt, and Procfile.

  • requirements.txt is a normal text file that contains Python packages required to run theΒ app.
  • runtime.txt is a text file that will contain the Python Version you want your app to runΒ on.
  • Procfile is will contain the command to launch your web app. For example, you canΒ use
# method 1
python application/server/main.py
# or uvicorn if you are deploying a uvicorn server
uvicorn application.server.main:app

Go to your Heroku dashboard then click on New and create a newΒ app

Enter your App name and select the Server region that is nearest to your location and click on CreateΒ app

After you create the app, you will see the deployment methodsβ€Šβ€”β€ŠHeroku Git, GitHub, and Container Registry. I will use the GitHub method. For this just push your code repository to your GitHub account and then connect to GitHub onΒ Heroku.

Then search the repository and connect it to your HerokuΒ app.

After this, you will see a deploy button, select the branch of your Git repository that you want to be deployed, and click onΒ deploy.

Then Heroku will automatically start your deployment πŸŽ‰πŸŽ‰
After deployment, you can access your app from any web browserΒ πŸ”₯

Hope this article helped you in the deployment of your web app. If you have some feedback or suggestion please let me know in the commentΒ section.

Follow me on Twitter: https://twitter.com/aniketmaurya

Subscribe to my YouTube channel: https://www.youtube.com/channel/UCRuFsj94hWecPkuEr4f5Xww


Deploy Machine Learning Web Apps for Free was originally published in Towards AIβ€Šβ€”β€ŠMultidisciplinary Science Journal on Medium, where people are continuing the conversation by highlighting and responding to this story.

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