fix 94282

app.py

@@ -127,7 +127,7 @@ def main(choose_context):
         # Step 1: Clean with simple_preprocess
         mytext_2 = list(sent_to_words(text))
         # Step 2: Lemmatize
-        mytext_3 = lemmatization(mytext_2, allowed_postags=['NOUN', 'ADJ', 'VERB', 'ADV'])
+        mytext_3 = lemmatization(mytext_2, allowed_postags=['NOUN', 'ADJ', 'VERB', 'ADV'], nlp=nlp)
         # Step 3: Vectorize transform
         mytext_4 = vectorizer.transform(mytext_3)
         # Step 4: LDA Transform
@@ -142,11 +142,11 @@ def main(choose_context):
 
     # Predict the topic
     mytext = ["This is a test of a random topic where I talk about politics"]
-    infer_topic, topic, prob_scores = predict_topic(text = mytext)
+    infer_topic, topic, prob_scores = predict_topic(text = mytext, nlp=nlp)
 
     def apply_predict_topic(text):
         text = [text]
-        infer_topic, topic, prob_scores = predict_topic(text = text)
+        infer_topic, topic, prob_scores = predict_topic(text = text, nlp=nlp)
         return(infer_topic)
 
     df["Topic_key_word"] = df['comment'].apply(apply_predict_topic)