Update app.py

app.py

@@ -9,12 +9,6 @@ with col1:
     st.title("Spamd: Turkish Spam Detector")
     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:
-    text = st.text_input("Enter the text you'd like to analyze for spam.")
-    if text:
-        predict(text)
-    if st.button('Analyze'):
-        predict(text)
 
 
 
@@ -78,3 +72,9 @@ def predict(new_sentence):
     
     #st.write('Input', namestr(new_sentence, globals()),': \n', new_sentence) 
    
+with col2:
+    text = st.text_input("Enter the text you'd like to analyze for spam.")
+    if text:
+        predict(text)
+    if st.button('Analyze'):
+        predict(text)