openai
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from .openai_embedding import OpenaiEmbeding |
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def openai(*args, **kwargs): |
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return OpenaiEmbeding(*args, **kwargs) |
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# 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 OpenaiEmbeding(PyOperator): |
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def __init__(self, model_name='text-embedding-ada-002', api_key=None): |
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self._engine = model_name |
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self._api_key = api_key |
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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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)["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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openai |
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