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flask_api_sifrank.py
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flask_api_sifrank.py
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from flask import Flask,jsonify,request,make_response,url_for,redirect
import requests, json
import json
import nltk
from embeddings import sent_emb_sif, word_emb_elmo
from model.method import SIFRank, SIFRank_plus
from stanfordcorenlp import StanfordCoreNLP
import time
import sys
cpu_or_gpu = int(sys.argv[1])
options_file = "auxiliary_data/elmo_2x4096_512_2048cnn_2xhighway_options.json"
weight_file = "auxiliary_data/elmo_2x4096_512_2048cnn_2xhighway_weights.hdf5"
porter = nltk.PorterStemmer()
ELMO = word_emb_elmo.WordEmbeddings(options_file, weight_file, cuda_device=cpu_or_gpu)
SIF = sent_emb_sif.SentEmbeddings(ELMO, lamda=1.0)
en_model = StanfordCoreNLP("auxiliary_data/stanford-corenlp-full-2018-10-05",quiet=True)#download from https://stanfordnlp.github.io/CoreNLP/
elmo_layers_weight = [0.0, 1.0, 0.0]
app = Flask(__name__)
@app.route('/sifrank', methods=['POST'])
def sifrank():
req_data = request.get_json(force=True)
#download from https://allennlp.org/elmo
text = req_data['text']
no_of_phrases = req_data['N']
algo = int(req_data["Sifrankplus"])
if algo == 0:
keyphrases = SIFRank(text, SIF, en_model, N=no_of_phrases,elmo_layers_weight=elmo_layers_weight)
else:
keyphrases = SIFRank_plus(text, SIF, en_model, N=no_of_phrases, elmo_layers_weight=elmo_layers_weight)
print(keyphrases)
key_phrases = {
'Kephrases': keyphrases,
}
return jsonify(key_phrases)
if __name__ == '__main__':
app.run(host='0.0.0.0',port = 5000,debug=False, use_reloader=True)