Flask is a web application framework written in Python. Flask is based on the Werkzeug WSGI toolkit and Jinja2 template engine. Both are Pocco projects. This article revolves around how to deploy a flask app on Heroku. To demonstrate this, we are first going to create a sample application for a better understanding of the process.
Prequisites
- Python
- pip
- Heroku CLI
- Git
Deploying Flask App on Heroku
Let’s create a simple flask application first and then it can be deployed to heroku. Create a folder named “eflask” and open the command line and cd inside the “eflask” directory. Follow the following steps to create the sample application for this tutorial.
STEP 1 : Create a virtual environment with pipenv and install Flask and Gunicorn .
$ pipenv install flask gunicorn
STEP 2 : Create a “Procfile” and write the following code.
$ touch Procfile
STEP 3 : Create “runtime.txt” and write the following code.
$ touch runtime.txt
STEP 4 : Create a folder named “app” and enter the folder.
$ mkdir app $ cd app
STEP 5 : Create a python file, “main.py” and enter the sample code.
touch main.py
from flask import Flask app = Flask(__name__) @app.route("/") def home_view(): return "<h1>Welcome to Geeks for Geeks</h1>" |
STEP 6 :Get back to the previous directory “eflask”.Create a file“wsgi.py” and insert the following code.
$ cd ../ $ touch wsgi.py
from app.main import app if __name__ == "__main__": app.run() |
STEP 7 : Run the vitual environment.
$ pipenv shell
STEP 8 : Initialize an empty repo, add the files in the repo and commit all the changes.
$ git init $ git add . $ git commit -m "Initial Commit"
STEP 9 : Login to heroku CLI using
heroku login
Now, Create a unique name for your Web app.
$ heroku create eflask-app
STEP 10 : Push your code from local to the heroku remote.
$ git push heroku master
Finally, web app will be deployed on http://eflask-app.herokuapp.com.
Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.
To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course.
