main.py

from flask import Flask
from flask import request
from sentence_transformers import SentenceTransformer

import os

app = Flask(__name__)
os.environ["TRANSFORMERS_CACHE"] = "/.cache"
model = SentenceTransformer('Alibaba-NLP/gte-large-en-v1.5', trust_remote_code=True)

@app.route("/embedding", methods=['POST'])
def embedding():
    """
    {
        text: <text>
    }
    """

    message = request.get_json()
    message = model.encode(message)

    return {"output":model.encode(message['text'].tolist())}


# curl -v -X POST 'http://127.0.0.1:8000/completion' --header 'Content-Type: application/json' --data '{"text": "what is an apple?"}'