j xUddlmZmZmZmZmZddlZddlm Z ddl m Z ddl m Z mZdZeed<Gdd e e Zy) )AnyDictListOptionalcastN) Embeddings)pre_init) BaseModel ConfigDictlaser2LASER_MULTILINGUAL_MODELceZdZUdZdZeeed< dZe ed<e dZ e de de fd Zd eedeeefd Zd edeefd Zy)LaserEmbeddingsaLASER Language-Agnostic SEntence Representations. LASER is a Python library developed by the Meta AI Research team and used for creating multilingual sentence embeddings for over 147 languages as of 2/25/2024 See more documentation at: * https://github.com/facebookresearch/LASER/ * https://github.com/facebookresearch/LASER/tree/main/laser_encoders * https://arxiv.org/abs/2205.12654 To use this class, you must install the `laser_encoders` Python package. `pip install laser_encoders` Example: from laser_encoders import LaserEncoderPipeline encoder = LaserEncoderPipeline(lang="eng_Latn") embeddings = encoder.encode_sentences(["Hello", "World"]) Nlang_encoder_pipelineforbid)extravaluesreturnc ddlm}|jd}|r ||}n |t}||d<|S#t$r}t d|d}~wwxYw) z0Validate that laser_encoders has been installed.r)LaserEncoderPipeliner)r)laserrzfCould not import 'laser_encoders' Python package. Please install it with `pip install laser_encoders`.N)laser_encodersrgetr ImportError)clsrrrencoder_pipelinees n/var/www/html/Fitness-lenito-AI-main/venv/lib/python3.12/site-packages/langchain_community/embeddings/laser.pyvalidate_environmentz$LaserEmbeddings.validate_environment,sn  ;::f%D#7T#B #7>V#W *:F& '  G  s59 A AAtextsc|jj|}tttt|j S)zGenerate embeddings for documents using LASER. Args: texts: The list of texts to embed. Returns: List of embeddings, one for each text. rencode_sentencesrrfloattolist)selfr! embeddingss rembed_documentszLaserEmbeddings.embed_documents@s9++<'>'@A!DDr*)__name__ __module__ __qualname____doc__rrstr__annotations__rrr model_configr rr rr%r)r.r*rrr s$D(3-"s!L$4& r=s4220)* (#(NEiNEr*