Azure ML Widgets not working when connecting to Azure ML Notebooks from VS Code

Environment data

• VS Code version: 1.55.2
• Jupyter Extension version (available under the Extensions sidebar): v2021.5.745244803
• Python Extension version (available under the Extensions sidebar): v2021.4.765268190
• OS (Windows | Mac | Linux distro) and version: Windows 20H2
• Python and/or Anaconda version: 3.6
• Type of virtual environment used (N/A | venv | virtualenv | conda | …): XXX
• Jupyter server running: Local | Remote | N/A: remote

Expected behaviour

Widget should be displayed.

Actual behaviour

Output: No renderer could be found for MIME type: application/aml.mini.widget.v1.

Steps to reproduce:

Run the following, replacing source directory and compute target as necessary:

from azureml.widgets import RunDetails

ws = Workspace.from_config()
experiment = Experiment(workspace=ws, name='day1-experiment-hello')

config = ScriptRunConfig(source_directory='./code/hello', script='hello.py', compute_target='TestComputeForDon')

run = experiment.submit(config)
RunDetails(run).show()

[ansaxena1]

I did run this notebook in classic Jupyter (accessed through AML to use my compute instance) and this is the output after running there. Is there something else you’d like me to try running?

[DonJayamanne]

Problem was, the output renderer selected was text/plain, vs code rememnbers this, hence widgets were never rendered.