content: #  Copyright (c) ZenML GmbH 2021. All Rights Reserved.
  #
  #  Licensed under the Apache License, Version 2.0 (the "License");
  #  you may not use this file except in compliance with the License.
  #  You may obtain a copy of the License at:
  #
  #       https://www.apache.org/licenses/LICENSE-2.0
  #
  #  Unless required by applicable law or agreed to in writing, software
  #  distributed under the License is distributed on an "AS IS" BASIS,
  #  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express
  #  or implied. See the License for the specific language governing
  #  permissions and limitations under the License.
  """Initialization of the Huggingface integration."""
  import sys
  from typing import List, Type, Optional
  
  from zenml.integrations.constants import HUGGINGFACE
  from zenml.integrations.integration import Integration
  from zenml.stack import Flavor
  
  HUGGINGFACE_MODEL_DEPLOYER_FLAVOR = "huggingface"
  HUGGINGFACE_DEPLOYER_FLAVOR = "huggingface"
  HUGGINGFACE_SERVICE_ARTIFACT = "hf_deployment_service"
  
  
  class HuggingfaceIntegration(Integration):
      """Definition of Huggingface integration for ZenML."""
  
      NAME = HUGGINGFACE
  
      REQUIREMENTS_IGNORED_ON_UNINSTALL = ["fsspec", "pandas"]
  
      @classmethod
      def activate(cls) -> None:
          """Activates the integration."""
          from zenml.integrations.huggingface import materializers  # noqa
          from zenml.integrations.huggingface import services
  
      @classmethod
      def get_requirements(cls, target_os: Optional[str] = None, python_version: Optional[str] = None
      ) -> List[str]:
          """Defines platform specific requirements for the integration.
  
          Args:
              target_os: The target operating system.
              python_version: The Python version to use for the requirements.
  
          Returns:
              A list of requirements.
          """
          requirements = [
              "datasets>=2.16.0,<4.0.0",
              "huggingface_hub>0.19.0",
              "accelerate",
              "bitsandbytes>=0.41.3",
              "peft",
              "transformers<4.55.0",
          ]
  
          # Add the pandas integration requirements
          from zenml.integrations.pandas import PandasIntegration
  
          return requirements + \
              PandasIntegration.get_requirements(target_os=target_os, python_version=python_version)
  
      @classmethod
      def flavors(cls) -> List[Type[Flavor]]:
          """Declare the stack component flavors for the Hugging Face integration.
  
          Returns:
              List of stack component flavors for this integration.
          """
          from zenml.integrations.huggingface.flavors import (
              HuggingFaceDeployerFlavor,
              HuggingFaceModelDeployerFlavor,
          )
  
          return [HuggingFaceDeployerFlavor, HuggingFaceModelDeployerFlavor]
  
  
  