share = true removed3

language_detection.py

@@ -1,4 +1,3 @@
-import nltk
 from nltk.corpus import wordnet
 import re
 from nltk.stem import WordNetLemmatizer
@@ -210,7 +209,7 @@ def en_hi_detection(text):
         for pos in [wordnet.NOUN, wordnet.VERB, wordnet.ADJ, wordnet.ADV]:
 #         print(f"{word} ({pos}): {lemmatizer.lemmatize(word, pos)}")
             lem_word = lemmatizer.lemmatize(word, pos)
-            if lem_word in nltk.corpus.wordnet.words():
+            if lem_word in wordnet.words():
                 count_en+=1
                 break
             elif lem_word in stop_words: