In this repository you will find an empty Streamlit application base template to kickstart custom application development. The Datarobot client is already set up for you to use. It uses the application owner's API key by default.
You can run the app using a custom application or by running the Streamlit app directly. Custom applications can be created either via the NextGen Registry's Applications page or by using DRApps.
Be sure to define the required variables for the app to communicate with DataRobot. If you run the app locally or in another environment than a custom application, you'll need to set the env variables. When this app is run via a custom application, the variables are set automatically.
#start-app.sh
export token="$DATAROBOT_API_TOKEN" # Your API key, accessed from DataRobot's Developer Tools page
export endpoint="$DATAROBOT_ENDPOINT" # Example: https://app.datarobot.com/api/v2/
To add runtime parameters, create a metadata.yaml
file in your application source folder. Here is an example of a DEPLOYMENT_ID
that creates
an environment variable called MLOPS_RUNTIME_PARAM_DEPLOYMENT_ID
:
runtimeParameterDefinitions:
- fieldName: DEPLOYMENT_ID
type: string
Once this file is part of your application source in DataRobot, it displays the new runtime parameter(s) as part of the app configuration.
To use the parameters, DataRobot recommends you add them via start-app.sh
. Add the following conditional export before streamlit run
starts:
if [ -n "$MLOPS_RUNTIME_PARAM_DEPLOYMENT_ID" ]; then
export deployment_id="$MLOPS_RUNTIME_PARAM_DEPLOYMENT_ID"
fi
You can now use os.getenv("deployment_id")
within your application code. DataRobot suggests you add every new environment variable to the initiate_session_state
function, that way they can be used across the app with ease.
This base template comes with a config.toml
file in the src/.streamlit
directory. You can adjust your app preferences in this file (read more). There are some preset defaults show in the code below.
[browser]
gatherUsageStats = false # Disables component usage tracking by Streamlit
[theme]
base="dark"
primaryColor="#297ab4" # Accent color of user interaction elements (button, checkbox, etc.)
backgroundColor="#0e1117" # Background for the main content area
secondaryBackgroundColor="#22272b" # Background for sidebar and various interactive widgets
[client]
toolbarMode = "minimal" # Hides the Streamlit actions from the toolbar (clear cache, rerun, custom themes)