automl-image-classification-multiclass-task-fridge-items.ipynb Error

### Operating System

MacOS

### Version Information

azure-cli: 2.40.0
azure-cli-core: 2.40.0
azure-cli-telemetry: 1.0.8

### Steps to reproduce

code is about the 25th cell
import mlflow

# Obtain the tracking URL from MLClient
MLFLOW_TRACKING_URI = ml_client.workspaces.get(
name=ml_client.workspace_name
).mlflow_tracking_uri

print(MLFLOW_TRACKING_URI)

error

TypeError: Descriptors cannot not be created directly.
If this call came from a _pb2.py file, your generated code is out of date and must be regenerated with protoc >= 3.19.0.
If you cannot immediately regenerate your protos, some other possible workarounds are:
1. Downgrade the protobuf package to 3.20.x or lower.
2. Set PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python (but this will use pure-Python parsing and will be much slower).

More information: https://developers.google.com/protocol-buffers/docs/news/2022-05-06#python-updates

### Expected behavior

Not fail

### Actual behavior

Fail

### Addition information

_No response_