Welcome to this blog post about the basic components of Streamlit, a powerful tool for creating interactive web applications with Python. This guide will introduce you to some of the essential components you can use to build your own Streamlit apps.

Introduction
Text Elements
Data Display Elements
Input Widgets
Media Elements
Layout and Control
Conclusion

Introduction

Streamlit is an open-source Python library that makes it easy to create and share beautiful, custom web apps for machine learning and data science. In just a few minutes, you can build and deploy powerful data apps.

Text Elements

Streamlit offers several functions to display text in your app. Here are some of the basic ones:

Function	Description	Example
`st.title`	Displays a title	`st.title('This is a title')`
`st.header`	Displays a header	`st.header('This is a header')`
`st.subheader`	Displays a subheader	`st.subheader('This is a subheader')`
`st.text`	Displays fixed-width text	`st.text('This is some text')`
`st.markdown`	Displays markdown-formatted text	`st.markdown('This is bold text')`
`st.latex`	Displays mathematical expressions formatted in LaTeX	`st.latex(r'E = mc^2')`
`st.code`	Displays a block of code	`st.code('print("Hello, Streamlit!")', language='python')`

Data Display Elements

Streamlit provides several ways to display data, including tables and charts:

Function	Description	Example
`st.dataframe`	Displays a data frame as an interactive table	`st.dataframe(my_dataframe)`
`st.table`	Displays a static table	`st.table(my_dataframe)`
`st.line_chart`	Displays a line chart	`st.line_chart(data)`
`st.bar_chart`	Displays a bar chart	`st.bar_chart(data)`
`st.map`	Displays a map	`st.map(data)`

Input Widgets

Input widgets allow you to capture user input in your Streamlit app:

Function	Description	Example
`st.button`	Displays a button	`if st.button('Click me'): st.write('Button clicked!')`
`st.slider`	Displays a slider	`age = st.slider('Select your age', 0, 100, 25)`
`st.text_input`	Displays a text input box	`name = st.text_input('Enter your name')`
`st.text_area`	Displays a text area	`bio = st.text_area('Enter your bio')`
`st.selectbox`	Displays a select box	`option = st.selectbox('Choose one', ['Option 1', 'Option 2', 'Option 3'])`
`st.multiselect`	Displays a multi-select box	`options = st.multiselect('Choose one or more', ['Option 1', 'Option 2', 'Option 3'])`
`st.checkbox`	Displays a checkbox	`agree = st.checkbox('I agree')`
`st.radio`	Displays a set of radio buttons	`choice =` `st.radio('Choose one', ['Option A', 'Option B', 'Option C'])`

Media Elements

Streamlit allows you to display media like images, audio, and video:

Function	Description	Example
`st.image`	Displays an image	`st.image('path/to/image.png')`
`st.audio`	Plays an audio file	`st.audio('path/to/audio.mp3')`
`st.video`	Plays a video file	`st.video('path/to/video.mp4')`

Layout and Control

Streamlit offers various elements to manage the layout and flow of your app:

Function	Description	Example
`st.sidebar`	Creates a sidebar for additional input widgets	`st.sidebar.selectbox('Choose one', ['Option 1', 'Option 2'])`
`st.columns`	Creates a multi-column layout	`col1, col2 = st.columns(2)`
`st.expander`	Creates an expandable/collapsible section	`with st.expander('Expand me'): st.write('Hidden text')`

Conclusion

This blog post covered the basic components of Streamlit, which you can use to create interactive and user-friendly web applications. Explore these components to enhance your data apps and make them more engaging.

Happy Streamlit-ing!

Feel free to contribute to this repository or ask questions if you need any further assistance.

Streamlit Basic Components

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