j\ddlmZmZmZddlmZddlmZmZddl m Z m Z Gdde eZ y))AnyDictList) Embeddings)get_from_dict_or_envpre_init) BaseModel ConfigDictc eZdZUdZeed<eed<eed<edZ ddedededd ffd Z e d e de fd Z d eedeeefdZdedeefdZxZS)NLPCloudEmbeddingsa NLP Cloud embedding models. To use, you should have the nlpcloud python package installed Example: .. code-block:: python from langchain_community.embeddings import NLPCloudEmbeddings embeddings = NLPCloudEmbeddings() model_namegpuclient)protected_namespaceskwargsreturnNc *t|d||d|y)N)r rr)super__init__)selfr rr __class__s q/var/www/html/Fitness-lenito-AI-main/venv/lib/python3.12/site-packages/langchain_community/embeddings/nlpcloud.pyrzNLPCloudEmbeddings.__init__s BJCB6Bvaluesct|dd} ddl}|j|d||dd|d <|S#t$r td wxYw) z?Validate that api key and python package exists in environment.nlpcloud_api_keyNLPCLOUD_API_KEYrNr ren)rlangrzXCould not import nlpcloud python package. Please install it with `pip install nlpcloud`.)rnlpcloudClient ImportError)clsrrr!s rvalidate_environmentz'NLPCloudEmbeddings.validate_environment#sw0 &(:   '|$&6F5MPT / F8   A  s "3Atextsc>|jj|dS)zEmbed a list of documents using NLP Cloud. Args: texts: The list of texts to embed. Returns: List of embeddings, one for each text. embeddingsrr()rr&s rembed_documentsz"NLPCloudEmbeddings.embed_documents6s{{%%e,\::rtextcF|jj|gddS)zEmbed a query using NLP Cloud. Args: text: The text to embed. Returns: Embeddings for the text. r(rr))rr+s r embed_queryzNLPCloudEmbeddings.embed_queryBs%{{%%tf-l;A>>r)z%paraphrase-multilingual-mpnet-base-v2F)__name__ __module__ __qualname____doc__str__annotations__boolrr model_configrrrr%rfloatr*r- __classcell__)rs@rr r s O I K26LBCCC C  C$4$ ;T#Y ;4U 3D ; ? ?U ?rr N) typingrrrlangchain_core.embeddingsrlangchain_core.utilsrrpydanticr r r rrrr<s$""0?*C?JC?r