Updating Semantic Models in Notebooks with Semantic Link

try this

import sempy.fabric as fabric
import sempy_labs as labs
from sempy_labs.tom import connect_semantic_model

dataset_name = "YourSemanticModelName"
model = connect_semantic_model(dataset_name)

measure = model.tables["YourTable"].measures["YourMeasure"]
measure.description = "New description"

model.save_changes()

Hi amcpherson ,

Thanks for using Microsoft Fabric Community.

Just checking in to see if you query is resolved and if response from nilendraFabric  was helpful.
You might also find this related blog post helpful - it walks through a full example of deploying and updating semantic models via Semantic Link in notebooks, along with common issues to avoid:

Programmatically deploy Semantic Models and Report... - Microsoft Fabric Community

For more background, here’s the official Learn document on Semantic Link:

What is semantic link? - Microsoft Fabric | Microsoft Learn

Hope this helps. If any of the responses above resolved your issue, kindly consider marking the helpful reply as Accepted Solution so others can benefit as well.

Feel free to reach out if you need further assistance.

Thank you.