Moved controls to sidebar.

app.py

@@ -1,16 +1,31 @@
 import modules
-import pandas as pd
 import streamlit as st
 
-st.markdown(
+# Sidebar
+st.sidebar.header("2hack2furious anonymiser")
+uploaded_file = st.sidebar.file_uploader(f"Upload dataset:", type=modules.SUPPORTED_TYPES)
+st.sidebar.markdown("---")
+
+st.sidebar.text("Data cleaning options:")
+drop_missing = st.sidebar.checkbox("Drop Missing", True)
+remove_duplicates = st.sidebar.checkbox("Remove Duplicates", True)
+st.sidebar.markdown("---")
+
+st.sidebar.text("Data anonymizing options:")
+st.sidebar.markdown("---")
+
+
+st.sidebar.markdown(
     """
-    # 2hack2furious anonymiser
-    
-    upload a dataset and get a cleaned dataset back.
+    Disclaimer:
+
+    *Lorem ipsum dolor sit amet, consectetur adipiscing elit. Aliquam urna sem, bibendum efficitur pellentesque a, sollicitudin pharetra urna. Nam vel lectus vitae elit luctus feugiat a a purus. Aenean mollis quis ipsum sed ornare. Nunc sit amet ultricies tellus. Vivamus vulputate sem id molestie viverra. Etiam egestas lobortis enim, sit amet lobortis ligula sollicitudin vel. Nunc eget ipsum sollicitudin, convallis.*
+
+    Created by team #2hack2furious for the hackthethreat2023
     """
-)
+    )
 
-uploaded_file = st.file_uploader(f"Upload dataset:", type=modules.SUPPORTED_TYPES)
+# Main
 
 df, (filename, extension), result = modules.load_file(uploaded_file)
 st.text(result)
@@ -19,15 +34,11 @@ if df is not None:
     st.title("Before:")
     st.dataframe(df)
 
-    drop_missing = st.checkbox("Drop Missing", True)
-    remove_duplicates = st.checkbox("Remove Duplicates", True)
+
 
     st.title("After:")
     df = modules.data_cleaner(df, drop_missing, remove_duplicates)
     st.dataframe(df)
 
     download_file = modules.create_file(df, extension)
-    st.download_button("Download cleaned data", download_file, file_name=filename)
-
-st.markdown("---")
-st.text("Created by team #2hack2furious for the hackthethreat2023")
+    st.download_button("Download cleaned data", download_file, file_name=filename)