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Deploying a python flask app has many ways to do, and there is a lot of platforms available Here I am going to show how to deploy a python flask application on Heroku in a free plan Let's Get started I assume You already developed your flask application in your local environment, have a Heroku account, and have some basic knowledge of working with git and Command-line Interface. Else If you are new Python Flask, Checkout the amazing course from Pluralsight called Introduction to the Flask Microframework  by Reindert-Jan Ekker Signup-now with 50% offer why Heroku? Heroku Free account provides 550 free dyno hours and free domain Example: https://app_name.herokuapp.com.  Learn more at  Heroku Free Dyno Hours Heroku Provide some option to Deploy App:  First one is deployed your app by linking your GitHub repository with your Heroku Account Another one is using the Heroku Command-line Interface (Heroku CLI) by pushing the application on Heroku git ser

In the series of post, I am going to build own chatbot using python and AIML  How to build a Chatbot: In this series, we gonna develop our chatbot as a simplest as possible using python and the AIML is brain Chatbot using python and AIML what is AIML: AIML stands for Artificial Intelligence Markup language It looks like XML files, developed by Dr. Richard S. Wallace during 1995-2000,  It is a set of tags and patterned structure, constructed by question and answers It makes our chatbot brain as simple as possible python: Everybody knows what is python language, it's one of the popular programmings in time it has multiple packages available in their packages repository both internally and externally As on the list, AIML package also available is python. You can easily install the packages using python pip(python package manager), or any other ways. The package helps to read and learn the AIML files into python and return the appropriate response