Update app.py

app.py

@@ -9,7 +9,7 @@ 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.")
 
-if st.button('Load Model', disabled=False):   
+if st.button('Load Model', disabled=True):   
     with st.spinner('Wait for it...'):
         import torch
         import numpy as np