Streamlit
Streamlit is an open-source Python library that makes it easy to build beautiful custom web-apps for machine learning and data science.
Deploying
Streamlit apps can be deployed with the rsconnect-python
package.
For Streamlit apps, the entrypoint is the name of the Python file containing your app. For example, if your app’s source file is named main.py
, use:
rsconnect deploy streamlit \
-n <saved server name> \
--entrypoint \
main.py ...
Example apps
There are some Streamlit example apps available from the Streamlit developers:
To deploy one of these examples, first clone the repository:
git clone https://github.com/streamlit/<app-name>
Install any required dependencies. Then, test the app locally:
streamlit run <app-name>/streamlit_app.py
Then deploy to Posit Connect:
rsconnect deploy streamlit \
-n <saved server name> \
--entrypoint streamlit_app.py \
<app-name>/
User meta-data
This example requires streamlit >= 1.37
import json
import streamlit as st
def get_user_info():
= st.context.headers.get("Rstudio-Connect-Credentials")
user_info_json if user_info_json is None:
return None
return json.loads(user_info_json)
def get_username():
= get_user_info()
user_info if user_info is None:
return None
return user_info.get("user")
"Username: " + get_username()) st.write(
User and group uniqueness
Most environments have unique usernames where each user
identifies a single user and groups
the name of the groups the user is a member of.
However, in large organizations with hundreds of users and groups, this may not be true. See the Admin Guide sections Credentials for Content for more information.
Details
Some things to note about running Streamlit apps on Connect:
Connect disables Streamlit’s telemetry, which is enabled by default. This is equivalent to setting
gatherUsageStats = false
in the Streamlitconfig.toml
file. Telemetry is disabled to prevent accidentally leaking information about your internal systems and to ensure a smooth experience in airgapped environments.Since Streamlit stores state in memory, Connect uses a
connect.workerid
cookie to ensure that requests for the same user session are routed to the appropriate worker process.