Update app.py

app.py

@@ -44,6 +44,8 @@ def preprocess_for_word2vec(text):
     text = [ps.stem(t) for t in text if t not in stopwords.words('english')]
     corpus.append(text)
 
+    return corpus
+
 def average_word_vectors(words, model, vocabulary, num_features):
     feature_vector = np.zeros((num_features,), dtype="float64")
     nwords = 0.