from sentence_transformers import SentenceTransformer

if __name__ == "__main__":
    print("🔹 Pre-downloading embedding model: all-MiniLM-L6-v2 ...")
    model = SentenceTransformer("sentence-transformers/all-MiniLM-L6-v2")
    model.encode(["test"])  # trigger download
    print("✅ Embedding model cached successfully.")