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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) | |
def embedding(): | |
""" | |
{ | |
text: <text> | |
} | |
""" | |
message = request.get_json() | |
message = model.encode(message['text']) | |
return {"output": message.tolist()} | |
# curl -v -X POST 'http://127.0.0.1:8000/embedding' --header 'Content-Type: application/json' --data '{"text": "what is an apple?"}' |