Streamlit is an open-source Python library used for building interactive web applications and data visualizations. It simplifies the process of creating web-based interfaces for data analysis and machine learning tasks.
With Streamlit, you can write Python scripts that allow you to create custom web applications quickly and easily. You can incorporate charts, tables, interactive widgets, and other visualizations to present and explore your data.
Here's a simple example of a Streamlit application that displays a plot:
import streamlit as st
import pandas as pd
import matplotlib.pyplot as plt
# Load data
data = pd.read_csv("data.csv")
# Display plot
st.line_chart(data)
# Run the Streamlit app
if __name__ == "__main__":
st.title("My Streamlit App")
To accept text input using Streamlit, you can use the text_input function provided by the Streamlit library. Here's an example of how to accept text input from the user:
import streamlit as st
# Accept text input
user_input = st.text_input("Enter your name", "John Doe")
# Display the input
st.write("Hello,", user_input)
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