What is streamlit How to install streamlit

Recipe Objective: What is streamlit and how to set it up?

What is Streamlit?

Streamlit is an open-source library that enables us to develop a frontend for our machine learning and data science apps using Python. You write an app in Streamlit the same way you write a python code. It makes creating custom web apps for machine learning and data science a cakewalk. You can create and deploy complex data apps in minutes.

Setting up Streamlit

There are a few prerequisites before you install streamlit. You will need the following things up and running in your system first-
1) Your favorite IDE or text editor
2) Python 3.7 - Python 3.9
3) PIP

Next, streamlit recommends usingn a virtual environment. This ensures that the dependencies pulled in for Streamlit don't impact any other Python projects that you are working on. You can use pipenv, poetry, venv, virtualenv or conda for environment management.

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Finally, you can easily install the streamlit library using the "pip" command either in the terminal or directly in the notebook as follows -

#installing streamlit
!pip install streamlit


Once you have streamlit installed use the following command to check if the installation worked. Streamlit's Hello app should appear in a new tab in your default web browser.

#testing installation
!streamlit hello


To view streamlit documentation you can run "streamlit docs" in the terminal or in your .ipynb notebook as follows-

#viewing documentation
!streamlit docs


To check the current version of streamlit you use the following command-

#checking version
!streamlit --version

To upgrade to the latest version of Streamlit you can either run "pip install --upgrade streamlit" in the terminal or run-

#upgrading streamlit
!pip install --upgrade streamlit


The latest version of Streamlit is compatible with the two most recent versions of Google Chrome, Firefox, Microsoft Edge, and Safari.