The key components or building blocks that make up a Streamlit application are:
- Python code: Streamlit applications are written in Python. The code defines the layout of the application, the data that is displayed, and the interactions that users can have with the application.
- Streamlit functions: Streamlit provides a number of functions that can be used to create and display different elements of a web application, such as text, images, charts, and widgets.
Here is a simple example of a Streamlit application:
import streamlit as st # Create a title st.title('My Streamlit App') # Display some text st.write('This is my first Streamlit app.') # Create a chart data = [1, 2, 3, 4, 5] st.line_chart(data)
This application uses the following Streamlit functions:
st.title(): Creates a title for the application.
st.write(): Displays text in the application.
st.line_chart(): Creates a line chart.
In addition to the basic components, there are a number of other features that can be used to build Streamlit applications, such as:
- Interactive widgets: Streamlit provides a variety of interactive widgets, such as sliders, checkboxes, and drop-down menus. These widgets can be used to allow users to interact with the data and the application in different ways.
- Caching: Streamlit can cache expensive computations, so that they do not have to be recalculated every time the application is re-rendered. This can improve the performance of applications that work with large datasets.
- Deployment: Streamlit applications can be deployed to the cloud with a single click. This makes it easy to share applications with others.
Streamlit is a powerful and flexible tool for building interactive data applications. By understanding the key components of Streamlit applications, users can create a wide variety of applications, from simple data visualizations to complex dashboards to machine learning models.