How to Deploy a Streamlit Data Application on a VPS

How to Deploy a Streamlit Data Application on a VPS

Streamlit lets you build interactive data dashboards in Python. Deploy your Streamlit app on a Breeze for persistent access and sharing with your team.

Install Python and Streamlit

sudo apt update
sudo apt install -y python3 python3-pip python3-venv

# Create a virtual environment
cd /var/www/streamlit-app
python3 -m venv venv
source venv/bin/activate
pip install streamlit

Create a Sample App

# /var/www/streamlit-app/app.py
import streamlit as st
import pandas as pd

st.title("Server Metrics Dashboard")
data = pd.DataFrame({"CPU": [45, 62, 38, 71], "RAM": [60, 55, 72, 68]})
st.line_chart(data)

Create a Systemd Service

# /etc/systemd/system/streamlit.service
[Unit]
Description=Streamlit Application
After=network.target

[Service]
Type=simple
User=www-data
WorkingDirectory=/var/www/streamlit-app
ExecStart=/var/www/streamlit-app/venv/bin/streamlit run app.py --server.port 8501 --server.headless true
Restart=on-failure

[Install]
WantedBy=multi-user.target

sudo systemctl daemon-reload
sudo systemctl enable --now streamlit

Reverse Proxy Configuration

server {
    listen 80;
    server_name dashboard.yourdomain.com;

    location / {
        proxy_pass http://127.0.0.1:8501;
        proxy_http_version 1.1;
        proxy_set_header Upgrade $http_upgrade;
        proxy_set_header Connection "upgrade";
        proxy_set_header Host $host;
    }
}

Secure with Certbot for HTTPS. Your Streamlit dashboard is now accessible on your Breeze.