Streamlit
1 Introduction to Streamlit
1.1 What is Streamlit?
1.2 Why use Streamlit?
1.3 Setting up the environment
1.4 Creating your first Streamlit app
2 Basic Components
2.1 Text elements
2.1 1 Displaying text
2.1 2 Formatting text
2.2 Data display elements
2.2 1 Displaying data frames
2.2 2 Displaying tables
2.3 Input widgets
2.3 1 Text input
2.3 2 Number input
2.3 3 Date input
2.3 4 Dropdown selection
2.3 5 Slider
2.3 6 Checkbox
2.3 7 Radio buttons
2.3 8 Buttons
3 Advanced Components
3.1 Interactive widgets
3.1 1 Multiselect
3.1 2 File uploader
3.1 3 Color picker
3.2 Media elements
3.2 1 Displaying images
3.2 2 Displaying videos
3.2 3 Displaying audio
3.3 Chart elements
3.3 1 Line chart
3.3 2 Bar chart
3.3 3 Area chart
3.3 4 Scatter chart
3.3 5 Map chart
4 Layout and Styling
4.1 Layout components
4.1 1 Columns
4.1 2 Tabs
4.1 3 Expander
4.2 Styling elements
4.2 1 Custom CSS
4.2 2 Theming
4.2 3 Adding custom fonts
5 State Management
5.1 Session state
5.1 1 Managing state across reruns
5.1 2 Persisting state
5.2 Caching
5.2 1 Caching functions
5.2 2 Caching data
6 Deployment
6.1 Deploying to Streamlit Sharing
6.1 1 Setting up Streamlit Sharing
6.1 2 Deploying your app
6.2 Deploying to other platforms
6.2 1 Deploying to Heroku
6.2 2 Deploying to AWS
6.2 3 Deploying to Google Cloud
7 Best Practices
7.1 Writing clean and maintainable code
7.2 Optimizing performance
7.3 Handling errors and exceptions
7.4 Version control with Git
8 Advanced Topics
8.1 Integrating with other libraries
8.1 1 Integrating with Pandas
8.1 2 Integrating with Plotly
8.1 3 Integrating with TensorFlow
8.2 Building complex apps
8.2 1 Creating multi-page apps
8.2 2 Handling authentication
8.2 3 Building interactive dashboards
8.3 Custom components
8.3 1 Creating custom widgets
8.3 2 Extending Streamlit with custom components
9 Case Studies
9.1 Building a data exploration app
9.2 Building a machine learning model deployment app
9.3 Building a real-time data visualization app
2 3 8 Buttons Explained

3 8 Buttons Explained

Key Concepts

st.button

st.button is a Streamlit widget that creates a clickable button. When the button is clicked, it returns True; otherwise, it returns False. This widget is essential for creating interactive applications where user actions trigger specific events or computations.

Parameters

The st.button function accepts several parameters to customize its behavior:

Interactive Use

Using st.button, you can create interactive applications where users can trigger actions by clicking a button. For example, you can create a button that performs a calculation, updates a plot, or displays a message.

Examples

Here are some examples to illustrate the use of st.button:

import streamlit as st

st.title("Button Example")

# Basic button
if st.button("Click me"):
    st.write("Button was clicked!")

# Button with a unique key
if st.button("Click me again", key="unique_key"):
    st.write("Another button was clicked!")

# Interactive button to trigger a calculation
number = st.number_input("Enter a number", min_value=0, max_value=100, step=1)
if st.button("Calculate Square"):
    result = number ** 2
    st.write(f"The square of {number} is {result}")
    

In the first example, a basic button is created. When clicked, it displays a message. The second example demonstrates using a unique key for a button. The third example shows how to create an interactive button that triggers a calculation based on user input.