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content/.stversions/jeremie_nuel/infra-ordinaire-no-func~20171217-110702.py

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+import nltk
+#import feedparser
+#import wikipedia
+from duckduckpy import query
+import random
+
+#https://jcutrer.com/howto/dev/python/python-tutorial-howto-parse-rss-headlines
+#feed = feedparser.parse('http://feeds.feedburner.com/time/scienceandhealth?format=xml')
+
+#print(feed['title'][0])
+#print(feed['feed']['title'][0])
+#print (type(feed))
+
+sentence = "Encoded inside a microchip are the patterns of my fingertips"
+
+print('\n')
+print(sentence)
+
+tokens = nltk.word_tokenize(sentence)
+
+words = []
+
+for word, pos in nltk.pos_tag(tokens):
+    if pos == 'NN':
+        words.append(word)
+
+print('\n')
+print(words)
+
+list_len = len(words)
+ran_num = random.randint(0,list_len-1)
+print(ran_num)
+
+res = query(words[ran_num], container='dict')
+print('\n\t' + res['related_topics'][0]['text'])
+
+tokens = nltk.word_tokenize(res['related_topics'][0]['text'])
+
+words = []
+
+for word, pos in nltk.pos_tag(tokens):
+    if pos == 'NN':
+        words.append(word)
+
+print('\n')
+print(words)
+
+list_len = len(words)
+ran_num = random.randint(0,list_len-1)
+print(ran_num)
+
+res = query(words[ran_num], container='dict')
+print('\n\t\t' + res['related_topics'][0]['text'])
+
+tokens = nltk.word_tokenize(res['related_topics'][0]['text'])
+
+words = []
+
+for word, pos in nltk.pos_tag(tokens):
+    if pos == 'NN':
+        words.append(word)
+
+print('\n')
+print(words)
+
+list_len = len(words)
+ran_num = random.randint(0,list_len-1)
+print(ran_num)
+
+res = query(words[ran_num], container='dict')
+print('\n\t\t\t' + res['related_topics'][0]['text'])