The data scientists in my company have a need to create rough UIs, dashboards and data visualisations in Sagemaker. This was possible in Studio Classic, but now seems broken on Studio?
Expected Behavior
Using the JupyterLab or Code Editor space, execute a Python script that creates a webserver that serves a UI on localhost:. A good minimal example is the Dash Plotly minimal Dash app: https://dash.plotly.com/minimal-app
I would expect to be able to access the UI that the app renders on a URL that uses https://<base path>/proxy/<some port>
Observed Behavior
https://<base path>/proxy/<some port> does not work. More to the point, I now have no idea how to access any Flask/FastAPI app that is ran within Sagemaker.
Product Version
Issue Description
The data scientists in my company have a need to create rough UIs, dashboards and data visualisations in Sagemaker. This was possible in Studio Classic, but now seems broken on Studio?
Expected Behavior
Using the JupyterLab or Code Editor space, execute a Python script that creates a webserver that serves a UI on localhost:. A good minimal example is the Dash Plotly minimal Dash app: https://dash.plotly.com/minimal-app
I would expect to be able to access the UI that the app renders on a URL that uses
https://<base path>/proxy/<some port>
Observed Behavior
https://<base path>/proxy/<some port>
does not work. More to the point, I now have no idea how to access any Flask/FastAPI app that is ran within Sagemaker.Product Category
JupyterLab, Code-Editor
Feedback Category
Error Handling and Debugging
Other Details
No response