Update app.py

app.py

@@ -87,13 +87,13 @@ def main():
     app_mode = st.sidebar.selectbox("Choose the app mode",
         ["Instructions", "Generate User Visit History", "Train Model", "Predict Conversion"])
 
-   if app_mode == "Instructions":
-    st.write("Welcome to the Markov Chain Classifier app!")
-    st.write("This app allows you to generate user visit history, train a Markov Chain Classifier model, and predict conversion.")
-    st.write("To get started, use the sidebar to navigate to the desired functionality.")
-    st.write("1. **Generate User Visit History**: Select the number of users and conversion rate, and click the 'Generate' button to generate user visit history.")
-    st.write("2. **Train Model**: Upload an ML config file using the file uploader, and click the 'Train' button to train the Markov Chain Classifier model.")
-    st.write("3. **Predict Conversion**: Upload an ML config file using the file uploader, and click the 'Predict' button to make predictions with the trained model.")
+    if app_mode == "Instructions":
+        st.write("Welcome to the Markov Chain Classifier app!")
+        st.write("This app allows you to generate user visit history, train a Markov Chain Classifier model, and predict conversion.")
+        st.write("To get started, use the sidebar to navigate to the desired functionality.")
+        st.write("1. **Generate User Visit History**: Select the number of users and conversion rate, and click the 'Generate' button to generate user visit history.")
+        st.write("2. **Train Model**: Upload an ML config file using the file uploader, and click the 'Train' button to train the Markov Chain Classifier model.")
+        st.write("3. **Predict Conversion**: Upload an ML config file using the file uploader, and click the 'Predict' button to make predictions with the trained model.")
 
     elif app_mode == "Generate User Visit History":
         st.subheader("Generate User Visit History")