Improved sidebar interaction.

app.py

@@ -1,44 +1,55 @@
 import modules
 import streamlit as st
+from streamlit_extras.let_it_rain import rain
 
-# Sidebar
-st.sidebar.header("2hack2furious anonymiser")
-uploaded_file = st.sidebar.file_uploader(f"Upload dataset:", type=modules.SUPPORTED_TYPES)
-st.sidebar.markdown("---")
+# Options
+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.*"
 
-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("---")
+# Cleaning parameters
+drop_missing = None,
+remove_duplicates = None,
 
-st.sidebar.text("Data anonymizing options:")
-st.sidebar.markdown("---")
+# Anonymizing parameters
+anonymize_data = None
 
+# Page Config
+st.set_page_config(layout="wide")
 
-st.sidebar.markdown(
-    """
-    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
-    """
-    )
+# Default Sidebar
+with st.sidebar:
+    st.header("2hack2furious anonymiser",)
+    with st.container() as upload:
+        file = st.file_uploader(f"Upload dataset:", type=modules.SUPPORTED_TYPES)
+        df, (filename, extension), result = modules.load_file(file)
 
 # Main
-
-df, (filename, extension), result = modules.load_file(uploaded_file)
-st.text(result)
-
-if df is not None:
-    st.title("Before:")
+if df is None:
+    rain("🤠")
+else:
     st.dataframe(df)
 
-
-
-    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)
+    with st.sidebar:
+        with st.container() as cleaning_options:
+            st.markdown("Data cleaning options:")
+            drop_missing = st.checkbox("Drop Missing", value=True)
+            remove_duplicates = st.checkbox("Remove Duplicates", value=True)
+
+        with st.container() as anonymizing_options:
+            st.markdown("Anonymizing options:")
+            anonymize_data = st.checkbox("Anonymize data", value=True)
+
+        if df is not None:
+            st.download_button("Download cleaned data", download_file, file_name=filename)
+        
+        st.markdown(
+            f"""
+            Disclaimer:  
+            {DISCLAIMER}
+            
+            Created by team #2hack2furious for the hackthethreat2023
+            """
+            )