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61 lines
2.1 KiB
61 lines
2.1 KiB
# Copyright 2021 Zilliz. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from openai import Embedding
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from tenacity import retry, stop_after_attempt, wait_random_exponential
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from towhee.operator.base import PyOperator
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class AzureOpenaiEmbeding(PyOperator):
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def __init__(self,
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engine='text-embedding-ada-002',
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api_type: str = 'azure',
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api_version: str = '2023-07-01-preview',
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api_key=None,
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api_base=None):
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self._engine = engine
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self._api_type = api_type
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self._api_version = api_version
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self._api_key = api_key
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self._api_base = api_base
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@retry(wait=wait_random_exponential(min=1, max=20), stop=stop_after_attempt(6))
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def _call(self, text):
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text = text.replace("\n", " ")
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return Embedding.create(input=[text],
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engine=self._engine,
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api_key=self._api_key,
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api_type=self._api_type,
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api_version=self._api_version,
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api_base=self._api_base
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)["data"][0]["embedding"]
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def __call__(self, text):
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return self._call(text)
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@staticmethod
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def supported_model_names():
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model_list = [
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'text-embedding-ada-002',
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'text-similarity-davinci-001',
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'text-similarity-curie-001',
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'text-similarity-babbage-001',
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'text-similarity-ada-001'
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]
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model_list.sort()
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return model_list
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