ssrjkk Streamlit
Turn Python scripts into interactive web apps in seconds.
Quick Start
import streamlit as st
st.title('My Data App')
name = st.text_input('Enter your name')
if st.button('Say Hello'): st.write(f'Hello, {name}!')
Widgets & Caching
uploaded_file = st.file_uploader("Upload CSV", type=['csv'])
if uploaded_file:
import pandas as pd; import plotly.express as px
df = pd.read_csv(uploaded_file); st.dataframe(df)
fig = px.histogram(df, x=st.selectbox("Column", df.columns)); st.plotly_chart(fig)
@st.cache_data
def load_data(): return pd.read_csv('large.csv')
When to Use
- ML model demos; Data analysis dashboards; Internal tools; Rapid prototyping
Validation
- App runs with streamlit run; 2. Widgets update interactively; 3. Charts render correctly