Update app.py

app.py

@@ -1,3 +1,5 @@
+import nltk
+nltk.download('stopwords')
 import pandas as pd
 #classify_abs is a dependency for extract_abs
 import classify_abs
@@ -14,17 +16,11 @@ st.title("Text Classification for Service Feedback")
 
 # https://docs.streamlit.io/library/api-reference/text/st.markdown
 
-
-
-
 ########## Create Input field ##########
 disease_or_gard_id = st.text_input('Input a rare disease term or a GARD ID.', 'Fellman syndrome')
 
-
 # st.code(body, language="python")
 
-
-
 #LSTM RNN Epi Classifier Model
 classify_model_vars = classify_abs.init_classify_model()