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__copyright__ = "Copyright (C) 2020 Nidhal Baccouri" |
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import os |
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from typing import List, Optional |
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from deep_translator.base import BaseTranslator |
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from deep_translator.constants import OPEN_AI_ENV_VAR |
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from deep_translator.exceptions import ApiKeyException |
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class ChatGptTranslator(BaseTranslator): |
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""" |
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class that wraps functions, which use the DeeplTranslator translator |
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under the hood to translate word(s) |
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""" |
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def __init__( |
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self, |
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source: str = "auto", |
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target: str = "english", |
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api_key: Optional[str] = os.getenv(OPEN_AI_ENV_VAR, None), |
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model: Optional[str] = "gpt-3.5-turbo", |
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**kwargs, |
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): |
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""" |
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@param api_key: your openai api key. |
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@param source: source language |
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@param target: target language |
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""" |
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if not api_key: |
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raise ApiKeyException(env_var=OPEN_AI_ENV_VAR) |
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self.api_key = api_key |
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self.model = model |
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super().__init__(source=source, target=target, **kwargs) |
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def translate(self, text: str, **kwargs) -> str: |
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""" |
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@param text: text to translate |
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@return: translated text |
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""" |
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import openai |
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openai.api_key = self.api_key |
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prompt = f"Translate the text below into {self.target}.\n" |
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prompt += f'Text: "{text}"' |
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response = openai.ChatCompletion.create( |
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model=self.model, |
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messages=[ |
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{ |
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"role": "user", |
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"content": prompt, |
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} |
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], |
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) |
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return response.choices[0].message.content |
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def translate_file(self, path: str, **kwargs) -> str: |
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return self._translate_file(path, **kwargs) |
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def translate_batch(self, batch: List[str], **kwargs) -> List[str]: |
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""" |
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@param batch: list of texts to translate |
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@return: list of translations |
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""" |
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return self._translate_batch(batch, **kwargs) |
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