Source: examples/streamlit

Streamlit + SkyPilot

Deploy your Streamlit app with SkyPilot.

Quick start

Launch the app using streamlit.sky.yaml:

sky launch -c streamlit-app streamlit.sky.yaml # specify "--infra aws" or other cloud if desired

Tip: Add -d to detach and return to your terminal immediately: sky launch -c streamlit-app streamlit.sky.yaml -d

Get the endpoint URL:

ENDPOINT=$(sky status --endpoint 8501 streamlit-app)
echo "Streamlit app: $ENDPOINT"

Open the URL in your browser to access your app.

Using your own Streamlit app

1. Replace app.py with your own Streamlit application

2. Update streamlit.sky.yaml:

   • Add any dependencies to the setup section

   • Modify the run command if your app has a different filename

3. Launch:

   sky launch -c my-app streamlit.sky.yaml
   

Example with requirements.txt

If your app needs additional packages, update the YAML:

setup: |
  pip install streamlit
  pip install -r requirements.txt

Teardown

Stop the cluster when done:

sky down streamlit-app

Advanced options

Custom port

resources:
  ports: 8080

run: |
  streamlit run app.py --server.port 8080 --server.address 0.0.0.0

Specific cloud/instance

resources:
  infra: aws # or "infra: aws/us-east-1" or "infra: gcp" or "infra: azure" etc.
  instance_type: t3.medium
  ports: 8501

Files

• app.py - Simple Streamlit demo application

• streamlit.sky.yaml - SkyPilot task configuration

Learn more

• SkyPilot Documentation

• Streamlit Documentation

Included files

app.py

"""Simple Streamlit app example for SkyPilot deployment."""
import numpy as np
import pandas as pd
import streamlit as st

st.set_page_config(page_title="SkyPilot Streamlit Demo", layout="wide")

st.title("SkyPilot + Streamlit Demo")
st.write(
    "A simple example showing how to deploy your Streamlit app with SkyPilot")

with st.sidebar:
    st.header("Settings")
    num_points = st.slider("Number of data points", 10, 1000, 100)
    chart_type = st.selectbox("Chart type", ["Line", "Bar", "Area"])

st.subheader("Random Data Visualization")
data = pd.DataFrame({
    'x': range(num_points),
    'y': np.random.randn(num_points).cumsum()
})

if chart_type == "Line":
    st.line_chart(data.set_index('x'))
elif chart_type == "Bar":
    st.bar_chart(data.set_index('x'))
else:
    st.area_chart(data.set_index('x'))

if st.checkbox("Show raw data"):
    st.dataframe(data)

st.divider()
st.caption("Deployed with SkyPilot")

streamlit.sky.yaml

name: streamlit-app

resources:
  ports: 8501

workdir: .

setup: |
  pip install streamlit

run: |
  streamlit run app.py --server.port 8501 --server.address 0.0.0.0 --server.headless true