Deployment Using Streamlit and Heroku

Deployment Using Streamlit and Heroku

Deployment Using Streamlit and Heroku. Every data science aspirant, who is new to the field, has an arsenal of projects that are left untouched on their own desktops. How about we get them up on the internet??

All the code and the screenshots used in this article are from a personal project that I worked on, earlier this year. The code for the GitHub repo is linked here and the deployed model is linked here


First, you need to get streamlit installed on your system, or on the virtual environment where you’re working on this project.

If you do not have streamlit installed, open the command prompt and type:

 pip install streamlit

Once you have streamlit installed, you should check out the official documentation of streamlit to familiarize yourself with the wide range of widgets provided by their python library. I will get into the following widget that I felt, are the most useful to start off with :

  1. To enter plain text
streamlit.write('Text data')

2. To Create a drop-down list

choices = ['1', '2', '3']
selected_ch = streamlit.selectbox('Pick a number', choices)

streamlit heroku deployment machine-learning ui

Bootstrap 5 Complete Course with Examples

Bootstrap 5 Tutorial - Bootstrap 5 Crash Course for Beginners

Nest.JS Tutorial for Beginners

Hello Vue 3: A First Look at Vue 3 and the Composition API

Building a simple Applications with Vue 3

Deno Crash Course: Explore Deno and Create a full REST API with Deno

How to Build a Real-time Chat App with Deno and WebSockets

Convert HTML to Markdown Online

HTML entity encoder decoder Online

How to Build and Deploy your own Machine Learning Web Application by Streamlit and Heroku

In this post, I will step-by-step demonstrate how to build your own Machine Learning web application that can share with your friends or colleagues, by using Streamlit and deploying it on Heroku.

How to Deploy Streamlit Web App on Heroku

Heroku is a quick and easy to use Platform as a service (PaaS) that facilitates the deployment of web apps so that it is accessible to anyone with a URL.

What is Supervised Machine Learning

What is neuron analysis of a machine? Learn machine learning by designing Robotics algorithm. Click here for best machine learning course models with AI

Pros and Cons of Machine Learning Language

AI, Machine learning, as its title defines, is involved as a process to make the machine operate a task automatically to know more join CETPA

How to Deploy a Machine Learning UI on Heroku in 5 Steps

How to Deploy a Machine Learning UI on Heroku in 5 Steps. Gradio lets you build a UI for your machine learning model. Heroku lets you host it. Here’s how to use them together.