azure-openai/azure_openai_embedding.py

# Copyright 2021 Zilliz. 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
#
#     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.


from openai import Embedding
from tenacity import retry, stop_after_attempt, wait_random_exponential
from towhee.operator.base import PyOperator


class AzureOpenaiEmbeding(PyOperator):
    def __init__(self,
                 model_name='text-embedding-ada-002',
                 api_type: str = 'azure',
                 api_version: str = '2023-07-01-preview',
                 api_key=None, 
                 api_base=None):
        self._engine = model_name 
        self._api_type = api_type
        self._api_version = api_version
        self._api_key = api_key
        self._api_base = api_base



    @retry(wait=wait_random_exponential(min=1, max=20), stop=stop_after_attempt(6))
    def _call(self, text):
        text = text.replace("\n", " ")
        return Embedding.create(input=[text],
                                engine=self._engine,
                                api_key=self._api_key,
                                api_type=self._api_type,
                                api_version=self._api_version,
                                api_base=self._api_base
        )["data"][0]["embedding"]

    def __call__(self, text):
        return self._call(text)

    @staticmethod
    def supported_model_names():
        model_list = [
            'text-embedding-ada-002',
            'text-similarity-davinci-001',
            'text-similarity-curie-001',
            'text-similarity-babbage-001',
            'text-similarity-ada-001'
        ]
        model_list.sort()
        return model_list