tjdddlmZmZmZddlmZddlmZmZddl m Z m Z Gdde eZ dS))AnyDictList) Embeddings)get_from_dict_or_envpre_init) BaseModel ConfigDictc eZdZUdZeed<eed<eed<edZ ddeded ed d ffd Z e d e d e fdZ deed eeefdZded eefdZxZS)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_namespaces%paraphrase-multilingual-mpnet-base-v2FkwargsreturnNc @tjd||d|dS)N)r rr)super__init__)selfr rr __class__s e/var/www/html/CA-Chatbot/venv/lib/python3.11/site-packages/langchain_community/embeddings/nlpcloud.pyrzNLPCloudEmbeddings.__init__s/ BJCBB6BBBBBvaluesct|dd} ddl}||d||dd|d <n#t$rtd wxYw|S) z?Validate that api key and python package exists in environment.nlpcloud_api_keyNLPCLOUD_API_KEYrNr ren)rlangrzXCould not import nlpcloud python package. Please install it with `pip install nlpcloud`.)rnlpcloudClient ImportError)clsrrr"s rvalidate_environmentz'NLPCloudEmbeddings.validate_environment#s0 &(:    OOO'|$&6F5MPT /  F8     A    s ,AAtextscB|j|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,,\::rtextcP|j|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)rF)__name__ __module__ __qualname____doc__str__annotations__boolrr model_configrrrr&rfloatr+r. __classcell__)rs@rr r s:  OOO III KKK:2666LBCCCC C  CCCCCC$4X$ ;T#Y ;4U 3D ; ; ; ; ? ?U ? ? ? ? ? ? ? ?rr N) typingrrrlangchain_core.embeddingsrlangchain_core.utilsrrpydanticr r r rrrr=s""""""""""000000????????********C?C?C?C?C?JC?C?C?C?C?r