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Claude Code - Backend Implementation Specialist
Add Docker deployment configuration for Hugging Face Spaces
36bfe21 | import cohere | |
| from typing import List | |
| from app.config import get_settings | |
| class EmbeddingService: | |
| """Service for generating embeddings using Cohere.""" | |
| def __init__(self): | |
| self.settings = get_settings() | |
| self.client = cohere.Client(self.settings.cohere_api_key) | |
| self.model = self.settings.cohere_embed_model | |
| def embed_text(self, text: str) -> List[float]: | |
| """Generate embedding for a single text.""" | |
| response = self.client.embed( | |
| texts=[text], | |
| model=self.model, | |
| input_type="search_document" | |
| ) | |
| return response.embeddings[0] | |
| def embed_texts(self, texts: List[str]) -> List[List[float]]: | |
| """Generate embeddings for multiple texts.""" | |
| response = self.client.embed( | |
| texts=texts, | |
| model=self.model, | |
| input_type="search_document" | |
| ) | |
| return response.embeddings | |
| def embed_query(self, query: str) -> List[float]: | |
| """Generate embedding for a search query.""" | |
| response = self.client.embed( | |
| texts=[query], | |
| model=self.model, | |
| input_type="search_query" | |
| ) | |
| return response.embeddings[0] | |