A Beginners Guide To Streamlit

Streamlit is an open-source Python library for building interactive web apps using only Python. It's ideal for creating dashboards, data-driven web apps, reporting tools and interactive user interfaces without needing HTML, CSS or JavaScript.

This article introduces key Streamlit features, shows how to build a simple app and explains how to run it on a local server using minimal code.

Streamlit Installation

Make sure Python and pip are already installed on your system. To install Streamlit, run the following command in the command prompt or terminal:

pip install streamlit

How to run Streamlit file?

To run a Streamlit app, open the command prompt or Anaconda prompt and type:

streamlit run filename.py

For example, if file name is sample.py, run:

streamlit run sample.py

After running the command, Streamlit starts a local development server and displays a URL (http://localhost:8501). Open this URL in your browser to view and interact with the app.

Understanding Streamlit basic functions

Streamlit offers simple built-in functions to create interactive web apps using Python. These functions help display text, add widgets, visualize data and handle user input.

Let’s explore them one by one.

1. Title

This basic Streamlit example displays a title on the web page, confirming that Streamlit is set up and running correctly.

Python

import streamlit as st
st.title("Hello GeeksForGeeks !!!")

Output

2. Header and Subheader

This example demonstrates how to add a header and subheader in a Streamlit app.

Python

st.header("This is a header") 
st.subheader("This is a subheader")

Output

3. Text

It shows how to display plain text in a Streamlit app using st.text() function.

Python

st.text("Hello GeeksForGeeks!!!")

Output

4. Markdown

This example uses st.markdown() to show formatted text. The ### creates a level 3 header, used for medium-sized headings in the app.

Python

st.markdown("### This is a markdown")

Output

5. Success, Info, Warning, Error and Exception

This example shows how to display different types of messages and alerts in a Streamlit app using built-in functions like st.success(), st.info(), st.warning(), st.error() and st.exception(). These functions help communicate status, information, warnings, errors and exceptions to users clearly.

Python

st.success("Success")

st.info("Information")

st.warning("Warning")

st.error("Error")

exp = ZeroDivisionError("Trying to divide by Zero")
st.exception(exp)

Output

6. Write

This example uses st.write() that can display text, numbers, data structures and even charts. Here, it's used to show plain text and the output of Python’s built-in range() function.

Python

st.write("Text with write")

# Writing python inbuilt function range()
st.write(range(10))

Output

7. Display Images

This example demonstrates how to display an image using Pillow library. The image is opened with Image.open() and displayed with st.image(), where the width parameter controls its size.

Python

from PIL import Image  # Import Image from Pillow
img = Image.open("streamlit.png") # Open the image file
st.image(img, width=200) # Display the image with a specified width

Output

8. Checkbox

This example uses a checkbox in Streamlit to toggle content visibility. When the checkbox labeled "Show/Hide" is checked, it displays a text message on the screen.

Python

# Display a checkbox with the label 'Show/Hide'
if st.checkbox("Show/Hide"):
    # Show this text only when the checkbox is checked
    st.text("Showing the widget")

Output

9. Radio Button

This example demonstrates how to use radio buttons to let users select one option from a list. Based on the selected gender, the app displays the result using st.success()

Python

# Create a radio button to select gender
status = st.radio("Select Gender:", ['Male', 'Female'])

# Display the selected option using success message
if status == 'Male':
    st.success("Male")
else:
    st.success("Female")

Output

10. Selection Box

This example uses a select box in Streamlit to let users choose one option from a dropdown list. The selected item is then displayed on the screen.

Python

# Create a dropdown menu for selecting a hobby
hobby = st.selectbox("Select a Hobby:", ['Dancing', 'Reading', 'Sports'])

# Display the selected hobby
st.write("Your hobby is:", hobby)

Output

11. Multi-Selectbox

This example demonstrates how to use a multiselect box in Streamlit, allowing users to choose multiple options from a list. The app then displays the number of selected items.

Python

# Create a multiselect box for choosing hobbies
hobbies = st.multiselect("Select Your Hobbies:", ['Dancing', 'Reading', 'Sports'])

# Display the number of selected hobbies
st.write("You selected", len(hobbies), "hobbies")

Output

12. Button

This example shows how to use buttons in Streamlit. Buttons can trigger specific actions when clicked, such as displaying a message or running a function.

Python

# A simple button that does nothing
st.button("Click Me")

# A button that displays text when clicked
if st.button("About"):
    st.text("Welcome to GeeksForGeeks!")

Output

13. Text Input

Text input fields allow users to enter custom data. This example collects a user's name, formats it with proper capitalization and displays it when Submit button is clicked, simulating a basic form interaction.

Python

# Create a text input box with a default placeholder
name = st.text_input("Enter your name", "Type here...")

# Display the name after clicking the Submit button
if st.button("Submit"):
    result = name.title()  # Capitalize the first letter of each word
    st.success(result)

Output

14. Slider

Sliders provide a way to select numeric values within a range. This example lets users choose a level between 1 and 5 and displays the selected value instantly. It is useful for settings like ratings, difficulty levels or thresholds.

Python

# Create a slider to select a level between 1 and 5
level = st.slider("Choose a level", min_value=1, max_value=5)

# Display the selected level
st.write(f"Selected level: {level}")

Output

Mini Project

Let’s put everything we've learned so far into practice by building a BMI Calculator web app using Streamlit. The formula to calculate Body Mass Index (BMI) when weight is in kilograms and height is in meters is:

bmi = weight/height²

Python

import streamlit as st

# Title of the app
st.title("BMI Calculator")

# Input: Weight in kilograms
weight = st.number_input("Enter your weight (kg):", min_value=0.0, format="%.2f")

# Input: Height format selection
height_unit = st.radio("Select your height unit:", ['Centimeters', 'Meters', 'Feet'])

# Input: Height value based on selected unit
height = st.number_input(f"Enter your height ({height_unit.lower()}):", min_value=0.0, format="%.2f")

# Calculate BMI when button is pressed
if st.button("Calculate BMI"):
    try:
        # Convert height to meters based on selected unit
        if height_unit == 'Centimeters':
            height_m = height / 100
        elif height_unit == 'Feet':
            height_m = height / 3.28
        else:
            height_m = height

        # Prevent division by zero
        if height_m <= 0:
            st.error("Height must be greater than zero.")
        else:
            bmi = weight / (height_m ** 2)
            st.success(f"Your BMI is {bmi:.2f}")

            # BMI interpretation
            if bmi < 16:
                st.error("You are Extremely Underweight")
            elif 16 <= bmi < 18.5:
                st.warning("You are Underweight")
            elif 18.5 <= bmi < 25:
                st.success("You are Healthy")
            elif 25 <= bmi < 30:
                st.warning("You are Overweight")
            else:
                st.error("You are Extremely Overweight")
    except:
        st.error("Please enter valid numeric values.")

Output

After entering all the required fields:

A Beginners Guide To Streamlit

Streamlit Installation

How to run Streamlit file?

Understanding Streamlit basic functions

Mini Project

Explore