.gitignore

@@ -1 +0,0 @@
-wiki-mad-libs-env/

test.py

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-import json
-import requests
-import wikipediaapi
-
-from nltk import pos_tag
-from nltk import sent_tokenize, word_tokenize
-
-# Info about the default pos_tag tags
-# https://www.ling.upenn.edu/courses/Fall_2003/ling001/penn_treebank_pos.html
-adlib_tags = {
-    "JJ": "Adjective",
-    "JJR": "Adjective ending in 'er'",
-    "JJS": "Adjective ending in 'est'",
-    "NN": "Noun",
-    "NNS": "Plural Noun",
-    "NNP": "Proper Noun",
-    "NNPS": "Plural Proper Noun",
-    "RB": "Adverb",
-    "RBR": "Adverb ending in 'er'",
-    "RBS": "Adverb ending in 'est'",
-    "VB": "Verb",
-    "VBD": "Past Tense Verb",
-    "VBG": "Verb ending in 'ing'",
-    "VBN": "Past Tense Verb",
-    "VBP": "Present Tense Verb",
-    "VBZ": "Present Tense Verb ending in 's'",
-}
-
-
-def get_random_wikipedia_title():
-    random_result = json.loads(requests.get('https://en.wikipedia.org/api/rest_v1/page/random/title').text)
-    return random_result['items'][0]['title']
-
-wikipedia = wikipediaapi.Wikipedia('en')
-wiki_page = wikipedia.page(get_random_wikipedia_title())
-
-print(wiki_page.title)
-print(wiki_page.displaytitle)
-print(wiki_page.canonicalurl)
-
-summary = wiki_page.summary
-sentences = sent_tokenize(summary)
-tagged_sentences = []
-for sentence in sentences:
-    tagged_sentences.append(pos_tag(word_tokenize(sentence)))
-
-
-i = 0
-output_tokens = []
-for sentence in tagged_sentences:
-    for token, tag in sentence:
-        output_tokens.append({"id": i, "token": token, "tag": tag})
-        i += 1
-
-print(json.dumps(output_tokens))