Updated styling.

app.py

@@ -17,39 +17,59 @@ st.set_page_config(layout="wide")
 
 # Default Sidebar
 with st.sidebar:
-    st.header("2hack2furious anonymiser",)
+    st.header("🕵️ 2anonymity")
+    st.markdown("*Clean and anonymize data*")
     with st.container() as upload:
-        file = st.file_uploader(f"Upload dataset:", type=modules.SUPPORTED_TYPES)
+        file = st.file_uploader(f"Upload dataset:", type=modules.SUPPORTED_TYPES, label_visibility="collapsed")
         df, (filename, extension), result = modules.load_file(file)
 
 # Main
 if df is None:
     rain("🤠")
 else:
-    st.dataframe(df)
-
-    df = modules.data_cleaner(df, drop_missing, remove_duplicates)
-    st.dataframe(df)
-
-    download_file = modules.create_file(df, extension)
+    # Add options to sidebar
     with st.sidebar:
+        
+        # Options for data cleaning
         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)
+            remove_duplicates = st.checkbox("Remove duplicate rows", value=True)
+            drop_missing = st.checkbox("Remove rows with missing values", value=False)
 
+        # Options for data optimization
         with st.container() as anonymizing_options:
             st.markdown("Anonymizing options:")
             anonymize_data = st.checkbox("Anonymize data", value=True)
 
+        # Prepare file for download
         if df is not None:
-            st.download_button("Download cleaned data", download_file, file_name=filename)
+            download_file = modules.create_file(df, extension)
+            with st.container() as downloader:
+                st.download_button("Download", download_file, file_name=filename)
+        
+        # Add a disclaimer for data security
+        with st.container() as disclaimer:
+            st.markdown(
+                f"""
+                Disclaimer:  
+                {DISCLAIMER}
+                """
+                )
+    
+    # Preview data before transformation
+    with st.container() as before_data:
+        s = df.style
+        s = s.set_properties(**{'background-color': '#fce4e4'})
+        st.dataframe(s)
+
+    # Process data
+    df = modules.data_cleaner(df, drop_missing, remove_duplicates)
+
+    # Preview data after transformation
+    with st.container() as after_data:
+        s = df.style
+        s = s.set_properties(**{'background-color': '#e4fce4'})
+        st.dataframe(s)
         
-        st.markdown(
-            f"""
-            Disclaimer:  
-            {DISCLAIMER}
-            
-            Created by team #2hack2furious for the hackthethreat2023
-            """
-            )
+# Attribution
+st.sidebar.markdown("Created by team #2hack2furious for the hackthethreat2023")