Streamlit

We will learn how to simply setup an app for Data visualisation and restitution. this will be usefull for you projects on the weeks to come.

Introduction

Exercice

Before everything let us install the requirements provided inside requirements.txt

pip install -r requirements.txt

Now run:

streamlit run app_streamlit.py

Now inspect app_streamlit.py and check what is being done inside

Deploy

Now that you checked your app works locally, you might want it to run free on a remote server.

Create folder outside data-challenges

Here as heroku is based on git, we will create a folder outside our gitted data-challenges folder.

mkdir -p ~/code/<user.github_nickname>/taxifare_streamlit
cp -rf * ~/code/<user.github_nickname>/taxifare_streamlit
cd ~/code/<user.github_nickname>/taxifare_streamlit

Version it for future heroku use:

cd ~/code/<user.github_nickname>/taxifare_streamlit && git init

Deploy to heroku

You'll see once again how heroku is easy to use, here you simply need to:

Create a Procfile with following line inside it:

web: sh setup.sh && streamlit run app_streamlit.py

git add . && git commit -am "add streamlit app"

heroku login

create app on heroku

heroku create YOUR_APP_NAME

Build it on heroku servers using git

git push heroku master

Then deploy

heroku ps:scale web=1

click on the link https://YOUR_APP_NAME.herokuapp.com/ to visualize your app

Useful links

Altair