Update app.py

app.py

@@ -63,7 +63,7 @@ with model_results:
             lemmatized_output.append(lemmatizer.lemmatize(word))
 
         # instantiating tfidf vectorizor
-        tfidf = TfidfVectorizer(stop_words= stop_words, ngram_range=(1,2))
+        tfidf = TfidfVectorizer(stop_words= 'english', ngram_range=(1,2))
         X_train = joblib.load(open('resources/X_train.pickel', 'rb'))
         X_test = lemmatized_output
         X_train_count = tfidf.fit_transform(X_train)