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#!/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
st_model = os.environ.get("OPENEDAI_EMBEDDING_MODEL", "all-mpnet-base-v2")
model = sentence_transformers.SentenceTransformer(st_model)
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