mirror of https://github.com/morpheus65535/bazarr
71 lines
1.9 KiB
Python
71 lines
1.9 KiB
Python
__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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