in experiments/google/cloud/ml/applied/embeddings/search.py [0:0]
def upsert_dp(prod_id: str, desc: str, image: str, cat=[]):
res = embeddings.embed(desc, image, base64=False)
if desc:
dp_id = prod_id + "_T"
emb = list(res.text_embedding)
insert_dp(dp_id, emb, cat)
if image:
dp_id = prod_id + "_I"
emb = list(res.image_embedding)
insert_dp(dp_id, emb, cat)