# Source code for nlp_architect.api.base

    # ******************************************************************************
    # Copyright 2017-2019 Intel Corporation
    #
    # 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
    #
    #     http://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.
    # ******************************************************************************
    import logging
    from typing import Union, List, Dict

    logger = logging.getLogger(__name__)

    class ModelAPI:
        """ Base class for a model API implementation
            Implementing classes must provide a default model and/or a path to a model

            Args:
                model_path (str): path to a trained model

            run method must return
        """

        default_model = None  # pre-trained model from library

        def __init__(self, model_path: str = None):
            if model_path is not None:
                self.load_model(model_path)
            elif self.default_model is not None:
                # get default model and load it
                # TODO: implement model integration
                raise NotImplementedError
            else:
                logger.error("Not model provided or not pre-trained model configured")

        def load_model(self, model_path: str):
            raise NotImplementedError

        def run(self, inputs: Union[str, List[str]]) -> Dict:
            raise NotImplementedError

        def __call__(self, inputs: Union[str, List[str]]):
            return self.run(inputs)