code: def _create_container_azure(container_name: str):
      """
      Creates a storage container on Azure Platform. gets the connection string from the environment variables.
  
      Example
      -------
      >>>  container_client = _create_container_azure(container_name='test-pycaret-azure')
  
      Parameters
      ----------
      container_name : str
          Name of the storage container to be created if does not exists already.
  
      Returns
      -------
      cotainer_client
  
      """
  
      logger = get_logger()
  
      # Create the container
      import os
  
      from azure.storage.blob import BlobServiceClient
  
      connect_str = os.getenv("AZURE_STORAGE_CONNECTION_STRING")
  
      if connect_str is None:
          logger.error(
              "Environment variable AZURE_STORAGE_CONNECTION_STRING not set"
          )
          raise ValueError(
              "Environment variable AZURE_STORAGE_CONNECTION_STRING not set"
          )
  
      blob_service_client = BlobServiceClient.from_connection_string(
          connect_str
      )
      container_client = blob_service_client.create_container(
          container_name
      )
      return container_client
  
file_path: pycaret/pycaret/internal/persistence.py
imports: import gc
  import os
  from typing import Dict, Optional
  import joblib
  from sklearn.pipeline import Pipeline
  from pycaret.utils._dependencies import _check_soft_dependencies
  from pycaret.utils.generic import MLUsecase, get_logger
label_desc: Use image node_id 7 for calling a global function with example usage: _create_container_azure(container_name) and returns: container_client