word is made lowercase before it is fed to the word2vec model

dash_app/words.py

@@ -10,9 +10,10 @@ class AssociatedWords:
         print(" Word2Vec model is ready. Enjoy!!!\n")
 
     def get_associated_words(self, word, top_n=10):
-        gensim_result = self.model.most_similar(word, topn=top_n)
+        lowercase_word = word.lower()
+        gensim_result = self.model.most_similar(lowercase_word, topn=top_n)
         # gensim_result = [('apple', 1.0), ('banana', 1.0), ('strawberry', 1.0)]
-        words = self.filter_results(gensim_result, word)
+        words = self.filter_results(gensim_result, lowercase_word)
         return words
 
     def filter_results(self, gensim_result, base_word):

scripts/run_debug_server.py

@@ -2,4 +2,4 @@ from dash_app.index import app
 
 
 if __name__ == '__main__':
-    app.run_server(debug=True)
+    app.run_server(debug=False)