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Add references to Gradio and Streamlit apps (#846)

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@ -28,6 +28,9 @@ or the experiment that created the model.
The ClearML web UI visualizes the model catalog for complete observability and lineage of the model lifecycle, providing
governance at scale.
Create a visual web interface and interactively demo your models using the [Gradio](webapp/applications/apps_gradio.md)
and [Streamlit](webapp/applications/apps_streamlit.md) launcher apps (available under the ClearML Enterprise plan).
[ClearML Serving](clearml_serving/clearml_serving.md) lets you deploy your models, and continue updating them as you
continue to train and test new model versions.
@ -198,6 +201,19 @@ See the [Model SDK interface](clearml_sdk/model_sdk.md) for an overview of model
detailed list of all available methods in the [Model](references/sdk/model_model.md), [OutputModel](references/sdk/model_outputmodel.md),
and [InputModel](references/sdk/model_inputmodel.md) reference pages.
## Creating Visual Web Interface
:::important Enterprise Feature
The Streamlit and Gradio launcher apps are available under the ClearML Enterprise plan.
:::
Create a visual web interface and interactively demo your models using the [Gradio](webapp/applications/apps_gradio.md)
and [Streamlit](webapp/applications/apps_streamlit.md) launcher apps.
The launcher applications spin up a Gradio or Streamlit execution environment and serve your respective app on a machine
of your choice. Once you start a launcher instance, you will be provided with an externally accessible link to
your Gradio or Streamlit app, where you can make use of your models.
## Serving Models
[ClearML Serving](clearml_serving/clearml_serving.md) provides a command line utility for model deployment and
orchestration. It enables model deployment including serving and preprocessing code to a Kubernetes cluster or custom