Skip to main content

Documentation Index

Fetch the complete documentation index at: https://docs.beam.cloud/llms.txt

Use this file to discover all available pages before exploring further.

You can easily deploy Streamlit apps on Beam. In this guide, we’ll show you how to deploy a simple Streamlit app that visualizes a simple dataset.

View the Code

See the code for this example on Github.

​
App Structure

There are two components to deploying a Streamlit app on Beam:
  1. An start_server.py file with your Beam code. You can view the source code here.
  2. A app.py file that hosts the Streamlit app
Here’s what the Beam-specific code looks like:
start_server.py
from beam import Image, Pod

streamlit_server = Pod(
    image=Image().add_python_packages(["streamlit", "pandas", "altair", "requests"]),
    ports=[8501],  # Default port for streamlit
    cpu=1,
    memory=1024,
    entrypoint=["streamlit", "run", "app.py"],
)

res = streamlit_server.create()

print("✨ Streamlit server hosted at:", res.url)

​
Deployment

To run the app, you can simply invoke the Python module directly: 
python start_server.py
Running this command will print the URL of the Streamlit app to the console. 
=> Creating container
=> Container created successfully ===> pod-15fba0c6-3fe8-408e-a0f8-c99cf166dcc9-97b6207e
=> Invocation details

curl -X GET 'https://15fba0c6-3fe8-408e-a0f8-c99cf166dcc9-8888.app.beam.cloud' \
-H 'Connection: keep-alive' \
-H 'Content-Type: application/json' \
-d '{}'
You can enter the URL in your browser to view the Streamlit app!