# embedder.py
from sentence_transformers import SentenceTransformer

# Load transformer model once
tf_model = SentenceTransformer("all-MiniLM-L6-v2")

def get_embeddings(text_list):
    return tf_model.encode(text_list, convert_to_numpy=True)