Spaces:
Sleeping
Sleeping
File size: 702 Bytes
f4af40d |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 |
from sentence_transformers import SentenceTransformer
from flask import Flask, request, jsonify
import logging
from app import app
embedding_model = SentenceTransformer("dangvantuan/vietnamese-document-embedding",
trust_remote_code=True,
device='cpu')
@app.route('/api/embedding', methods=['POST'])
def embedding():
data = request.get_json()
logging.info(data)
try:
content = data['text']
embedding = embedding_model.encode(content)
embedding = embedding.tolist()
return jsonify({'embedding': embedding})
except Exception as e:
return jsonify({'error': str(e)})
|