#!/usr/bin/env python3
# preload the embedding model, useful for Docker images to prevent re-download on config change
# Dockerfile:
# ENV OPENEDAI_EMBEDDING_MODEL=all-mpnet-base-v2 # Optional
# RUN python3 cache_embedded_model.py
import os

import sentence_transformers
from extensions.openai.script import params

st_model = os.environ.get("OPENEDAI_EMBEDDING_MODEL", params.get('embedding_model', 'all-mpnet-base-v2'))
model = sentence_transformers.SentenceTransformer(st_model)