BotSharp/BotSharp.MachineLearning/Nltk/server.py

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from bottle import route, run, request
import random
import nltk
from nltk.tokenize import WhitespaceTokenizer
@route('/load')
def load():
return {'version': '3.3',\
'python': '3.5.2'}
def nltk_tokenize(sentence):
spans_generator = WhitespaceTokenizer().span_tokenize(sentence)
spans = [span for span in spans_generator]
tags = nltk.pos_tag(nltk.word_tokenize(sentence))
tokens = []
i = 0
print(len(spans))
print(len(tags))
for tag in tags:
tokens.append({'text' : tag[0], 'tag' : tag[1], 'offset' : spans[i][0]})
i = i + 1
return {'tokens' : tokens}
@route('/nltktokenizesentences', method = 'POST')
def nltk_tokenize_sentences():
sentences = request.json['Sentences']
tokens_list = []
for sentence in sentences:
token = nltk_tokenize(sentence)
tokens_list.append(token['tokens'])
return {'tokensList' : tokens_list}
run(host= '0.0.0.0', port= 5005, debug= False)