from sentence_transformers import SentenceTransformer
from PIL import Image

_model = None

def _get_model():
    global _model
    if _model is None:
        _model = SentenceTransformer("clip-ViT-B-32")
    return _model

def embed_image(path: str) -> list[float]:
    img = Image.open(path).convert("RGB")
    return _get_model().encode(img).tolist()

def embed_text(text: str) -> list[float]:
    return _get_model().encode(text).tolist()