Adventures in Machine Learning

Creating Interactive Web Applications with Streamlit in Python

Streamlit is a powerful and easy-to-use open-source framework that allows developers to create interactive web applications in Python. With Streamlit, you can easily build dynamic and data-driven applications without the need for complex coding.

This article provides an overview of Streamlit and how to get started using it.

Installation

Before you can start using Streamlit, you need to install it on your computer. Streamlit can be installed on Windows, Mac, and Linux operating systems.

Installing Streamlit on Windows

  1. Open the command prompt and type “pip install streamlit”.
  2. Once the installation is complete, verify that Streamlit is installed by typing “streamlit version” in the command prompt.

Installing Streamlit on Mac and Linux

  1. Open the terminal and type “pip install streamlit”.
  2. Once the installation is complete, verify that Streamlit is installed by typing “streamlit version” in the terminal.

Creating a Hello World App in Streamlit

Once you have installed Streamlit, you can create your first app. The easiest way to get started is to create a simple “Hello World” app.

This app will display a greeting message on the screen. To create a “Hello World” app in Streamlit, follow these steps:

  1. Open a text editor and create a new file.
  2. Add the following code: 
    import streamlit as st
st.write("Hello, World!")
  3. Save the file as “hello.py”.
  4. Open the command prompt (Windows) or terminal (Mac/Linux), navigate to the directory where you saved the file, and type “streamlit run hello.py”.
  5. A new browser window will open, and you will see the message “Hello, World!” displayed on the screen.

Text Elements in Streamlit

Streamlit provides several different types of text elements that you can use to add text to your app. These include titles, headers, subheaders, markdown, code, and LaTeX.

Titles and headers are used to denote the main content sections of your app.

Subheaders are used to break down content into sub-sections.

Markdown allows you to format text with various styles using simple syntax.

Code and LaTeX are used for displaying code snippets or mathematical equations, respectively.

To add text elements to your Streamlit app, simply use the appropriate Streamlit command. For example, to add a Markdown header, you can use the following code:

import streamlit as st
st.header("My Header")

Widgets in Streamlit

Widgets are interactive graphical user interface elements that allow your users to interact with your app. Streamlit provides several different types of widgets, including buttons, checkboxes, radio buttons, and sliders.

To add widgets to your Streamlit app, you can use the appropriate Streamlit command. For example, to add a button, you can use the following code:

import streamlit as st
if st.button("Click me!"):
    st.write("Button clicked!")

When the user clicks the button, the message “Button clicked!” will be displayed on the screen.

Conclusion

In conclusion, Streamlit is a powerful and easy-to-use open-source framework that can be used to create interactive web applications in Python. With its intuitive interface and extensive library of widgets and text elements, Streamlit is an excellent choice for both beginners and experienced developers looking to create data-driven apps.

Without a doubt, Streamlit is a must-learn tool for any Python developer who wants to create dynamic and engaging web applications.

Creating a Hello World App in Streamlit is a great way to get started with this powerful Python library. Streamlit is designed to make data science and machine learning simpler and more interactive than ever before.

In this article, we will explore how to create a simple Hello World app in Streamlit, as well as how to work with the various text elements that Streamlit provides.

Importing Streamlit

The first step in creating a Streamlit app is to import the streamlit library. This can be done using the following command:

import streamlit as st

Once you have imported Streamlit, you can begin creating your app.

Setting the Title for the App

The next step is to set the title for your app. This is done using the `title` function provided by Streamlit.

Here’s an example:

st.title("Hello World App")

This will set the title of your app to “Hello World App”. You can change the text to whatever you like.

Running the App

Once you have set the title, you can run the app using the `streamlit run` command in your terminal. Here’s an example:

streamlit run my_app.py

This will start the Streamlit server and the Hello World app will be available at `http://localhost:8501/`.

You can now view your app in a web browser.

Text Elements in Streamlit

Streamlit provides several text elements that you can use to format your app. These include titles, headers, subheaders, markdown, code, and LaTeX.

Title

The `title` function is used to set the title of your app. You can place it at the top of your app to make your title prominent.

Header

Headers are used to denote main sections of your app. You can create a header using the `header` function.

Here’s an example:

st.header("Section 1")

This will create a large, bold header that says “Section 1”.

Subheader

Subheaders can be used to break down content into sub-sections. You can create a subheader using the `subheader` function.

Here’s an example:

st.subheader("Sub-section 1.1")

This will create a smaller header that says “Sub-section 1.1”.

Markdown

Markdown allows you to format text using simple syntax. You can use markdown in a Streamlit app using the `markdown` function.

Here’s an example:

st.markdown("## This is a Markdown headernnThis is some **bold** text.")

This will display a Markdown header that says “This is a Markdown header”, followed by some bold text.

Code

You may want to display code snippets to your users. Streamlit makes it easy to do so using the `code` function.

Here’s an example:

st.code("print('Hello, World!')")

This will display a code snippet that says `print(‘Hello, World!’)`.

Latex

If you need to display mathematical equations, Streamlit has built-in support for LaTeX. You can use the `latex` function to display equations.

Here’s an example:

st.latex(r"e^{ipi} + 1 = 0")

This will display the Euler’s formula for complex numbers.

Conclusion

In this article, we explored how to create a Hello World app in Streamlit. We covered the basics of importing Streamlit, setting the title for your app, and running the app.

We also explored the various text elements provided by Streamlit, including headers, subheaders, markdown, code, and LaTeX. With these tools, you can create powerful and interactive web apps that make data science and machine learning accessible to everyone.

If you’re interested in building interactive apps in Python, Streamlit is the perfect tool for you. In addition to text elements, Streamlit also provides a rich set of widgets that you can use to enable user interaction with your apps.

In this article, we will explore how to use the different types of widgets that you can incorporate in your Streamlit apps.

Button

Buttons are one of the simplest types of widgets that you can add to your Streamlit app. They allow users to perform an action by clicking the button.

You can create a button using the `button` function provided by Streamlit. Here’s an example:

if st.button('Click me!'):
    st.write('You clicked the button!')

When the user clicks on the button, the message “You clicked the button!” will be displayed.

Checkbox

Checkboxes are used to allow users to choose one or more options from a list of choices. You can create a checkbox using the `checkbox` function provided by Streamlit.

Here’s an example:

option1 = st.checkbox('Option 1')
if option1:
    st.write('You selected option 1')

When the user selects “Option 1”, the message “You selected Option 1” will be displayed.

Radio Button

Radio buttons allow users to select one option from a list of choices.

You can create radio buttons using the `radio` function provided by Streamlit. Here’s an example:

option = st.radio('Choose an option', ('Option 1', 'Option 2', 'Option 3'))
if option == 'Option 1':
    st.write('You selected Option 1')
elif option == 'Option 2':
    st.write('You selected Option 2')
else:
    st.write('You selected Option 3')

When the user selects any of the options, the message corresponding to the selected option will be displayed.

Slider

Sliders allow users to choose a value from a range of options. Streamlit provides a `slider` function that you can use to add sliders to your app.

Here’s an example:

import numpy as np
x = st.slider('Select a value', 0.0, 10.0, step=0.1)
st.write('You selected', x)

When the user drags the slider, the selected value will be displayed.

Conclusion

In this article, we learned how to use the different types of widgets provided by Streamlit to make our apps more interactive. We covered buttons, checkboxes, radio buttons, and sliders.

With these widgets, you can create apps that allow users to interact with your data in real-time. Streamlit is a powerful and easy-to-use tool that can streamline your data science pipeline and enable you to create engaging and interactive apps with minimal effort.

We hope this tutorial has been helpful in getting you started with Streamlit. In this article, we discussed how to use Streamlit to create interactive web applications in Python.

We started by covering the installation process and creating a “Hello World” app in Streamlit. We then explored the different text elements and widgets provided by Streamlit, including titles, headers, subheaders, Markdown, code, LaTeX, buttons, checkboxes, radio buttons, and sliders.

Streamlit is a powerful and easy-to-use tool that can streamline your data science pipeline and enable you to create engaging and interactive apps with minimal effort. Interactive web applications are crucial in modern software development, and with Streamlit, they are easy to create.

Give Streamlit a try, and you’ll be amazed at how quickly you can create powerful and interactive web applications.

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