29 lines
907 B
Python
29 lines
907 B
Python
from injector import inject, singleton
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from pydantic import BaseModel, Field
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from private_gpt.components.embedding.embedding_component import EmbeddingComponent
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class Embedding(BaseModel):
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index: int
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object: str = Field(enum=["embedding"])
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embedding: list[float] = Field(examples=[[0.0023064255, -0.009327292]])
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@singleton
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class EmbeddingsService:
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@inject
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def __init__(self, embedding_component: EmbeddingComponent) -> None:
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self.embedding_model = embedding_component.embedding_model
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def texts_embeddings(self, texts: list[str]) -> list[Embedding]:
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texts_embeddings = self.embedding_model.get_text_embedding_batch(texts)
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return [
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Embedding(
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index=texts_embeddings.index(embedding),
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object="embedding",
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embedding=embedding,
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)
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for embedding in texts_embeddings
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]
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