Commented out the filters, they only distract for now

app.py

@@ -544,7 +544,7 @@ def run_app():
     else:
         st.write("Data received from Flask:")
         df = get_nucmonitor_data(start_date, end_date, photo_date, past_date)
-        st.sidebar.write("FILTERS")
+        # st.sidebar.write("FILTERS")
 
         st.write(df)  # Display DataFrame
 
@@ -560,33 +560,33 @@ def run_app():
         #######################################################
         # if df is not None:
 
-        st.title("Data Filters")
-        df_columns_lst = df.columns.tolist()
-        print("df_columns_lst", df_columns_lst)
+        # st.title("Data Filters")
+        # df_columns_lst = df.columns.tolist()
+        # print("df_columns_lst", df_columns_lst)
 
-        # Select columns for display
-        selected_columns = st.sidebar.multiselect("Select Columns to Display", 
-            options=df_columns_lst,
-            default=df_columns_lst,
-            key=None
-            )
+        # # Select columns for display
+        # selected_columns = st.sidebar.multiselect("Select Columns to Display", 
+        #     options=df_columns_lst,
+        #     default=df_columns_lst,
+        #     key=None
+        #     )
 
-        st.sidebar.write('Selected plants:', selected_columns)
+        # st.sidebar.write('Selected plants:', selected_columns)
 
-        # Filter rows by checking column 0
-        # filter_row_contains_value = st.sidebar.checkbox("Filter Rows by Date", False)
+        # # Filter rows by checking column 0
+        # # filter_row_contains_value = st.sidebar.checkbox("Filter Rows by Date", False)
 
-        # filtered_df = df.copy()
-        print("filtered_df = df.copy()")
-        filtered_by_plant = df.copy()[selected_columns]
-        print("filtered_df = filtered_df[selected_columns]")
+        # # filtered_df = df.copy()
+        # print("filtered_df = df.copy()")
+        # filtered_by_plant = df.copy()[selected_columns]
+        # print("filtered_df = filtered_df[selected_columns]")
         
-        # if filter_row_contains_value:
-        #     filtered_df = filtered_df[filtered_df.iloc[:, 0].astype(str).str.contains('0', case=False, na=False)]
+        # # if filter_row_contains_value:
+        # #     filtered_df = filtered_df[filtered_df.iloc[:, 0].astype(str).str.contains('0', case=False, na=False)]
 
-        st.write("Filtered Data:")
-        st.write(filtered_by_plant)
-        print("st.write(filtered_df)")
+        # st.write("Filtered Data:")
+        # st.write(filtered_by_plant)
+        # print("st.write(filtered_df)")
         
         # Add a download button
         # Create a BytesIO object to hold the Excel data