Update app.py

app.py

@@ -2,7 +2,7 @@ import streamlit as st
 from transformers import pipeline
 from textblob import TextBlob
 from transformers import BertForSequenceClassification, AdamW, BertConfig
-
+st.set_page_config(layout='wide', initial_sidebar_state='expanded')
 col1, col2= st.columns(2)
 
 with col1:
@@ -10,7 +10,6 @@ with col1:
     st.markdown("Message spam detection tool for Turkish language. Due the small size of the dataset, I decided to go with transformers technology Google BERT. Using the Turkish pre-trained model BERTurk, I imporved the accuracy of the tool by 18 percent compared to the previous model which used fastText.")
 
 with col2:
-    st.set_page_config(layout='wide', initial_sidebar_state='expanded')
     text = st.text_input("Enter the text you'd like to analyze for spam.")