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| from typing import Any, Optional, Sequence | |
| from langchain_core.documents import BaseDocumentTransformer, Document | |
| from langchain.utils import get_from_env | |
| class DoctranTextTranslator(BaseDocumentTransformer): | |
| """Translate text documents using doctran. | |
| Arguments: | |
| openai_api_key: OpenAI API key. Can also be specified via environment variable | |
| ``OPENAI_API_KEY``. | |
| language: The language to translate *to*. | |
| Example: | |
| .. code-block:: python | |
| from langchain.document_transformers import DoctranTextTranslator | |
| # Pass in openai_api_key or set env var OPENAI_API_KEY | |
| qa_translator = DoctranTextTranslator(language="spanish") | |
| translated_document = await qa_translator.atransform_documents(documents) | |
| """ | |
| def __init__( | |
| self, | |
| openai_api_key: Optional[str] = None, | |
| language: str = "english", | |
| openai_api_model: Optional[str] = None, | |
| ) -> None: | |
| self.openai_api_key = openai_api_key or get_from_env( | |
| "openai_api_key", "OPENAI_API_KEY" | |
| ) | |
| self.openai_api_model = openai_api_model or get_from_env( | |
| "openai_api_model", "OPENAI_API_MODEL" | |
| ) | |
| self.language = language | |
| def transform_documents( | |
| self, documents: Sequence[Document], **kwargs: Any | |
| ) -> Sequence[Document]: | |
| raise NotImplementedError | |
| async def atransform_documents( | |
| self, documents: Sequence[Document], **kwargs: Any | |
| ) -> Sequence[Document]: | |
| """Translates text documents using doctran.""" | |
| try: | |
| from doctran import Doctran | |
| doctran = Doctran( | |
| openai_api_key=self.openai_api_key, openai_model=self.openai_api_model | |
| ) | |
| except ImportError: | |
| raise ImportError( | |
| "Install doctran to use this parser. (pip install doctran)" | |
| ) | |
| doctran_docs = [ | |
| doctran.parse(content=doc.page_content, metadata=doc.metadata) | |
| for doc in documents | |
| ] | |
| for i, doc in enumerate(doctran_docs): | |
| doctran_docs[i] = await doc.translate(language=self.language).execute() | |
| return [ | |
| Document(page_content=doc.transformed_content, metadata=doc.metadata) | |
| for doc in doctran_docs | |
| ] | |