Aspect setiment triplet extraction

Flask Server

!pip install pyabsa
!pip install flask

from flask import Flask, request, jsonify
from pyabsa import AspectSentimentTripletExtraction as ASTE

app = Flask(__name__)


@app.route("/predict", methods=["POST"])
def predict():
    # Load the model
    triplet_extractor = ASTE.AspectSentimentTripletExtractor("multilingual")

    # Get the text from the request
    data = request.get_json(force=True)
    text = data["text"]

    # Predict
    result = triplet_extractor.predict(text)

    return jsonify(result)


app.run(port=6000, debug=True)

 * Serving Flask app '__main__'
 * Debug mode: on

C:\Users\chuan\miniconda3\lib\site-packages\werkzeug\serving.py:718: ResourceWarning: unclosed <socket.socket fd=1632, family=AddressFamily.AF_INET, type=SocketKind.SOCK_STREAM, proto=0>
  self.socket = socket.fromfd(fd, address_family, socket.SOCK_STREAM)
ResourceWarning: Enable tracemalloc to get the object allocation traceback
WARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.
 * Running on http://127.0.0.1:5000
Press CTRL+C to quit
 * Restarting with stat

An exception has occurred, use %tb to see the full traceback.

SystemExit: 1

API Request

import requests
import json

url = "http://localhost:5000/predict"
data = {"text": "The food is good, but the service is bad."}
headers = {"Content-type": "application/json", "Accept": "text/plain"}
r = requests.post(url, data=json.dumps(data), headers=headers)
print(r.text)

{
  "Triplets": [
    {
      "Aspect": "food",
      "Opinion": "good,",
      "Polarity": "Positive"
    },
    {
      "Aspect": "food",
      "Opinion": "bad.",
      "Polarity": "Negative"
    },
    {
      "Aspect": "service",
      "Opinion": "good,",
      "Polarity": "Positive"
    },
    {
      "Aspect": "service",
      "Opinion": "bad.",
      "Polarity": "Negative"
    }
  ],
  "True Triplets": [],
  "sentence": "The food is good, but the service is bad.",
  "sentence_id": 0
}