Update app.py

app.py

@@ -2,7 +2,6 @@ import streamlit as st
 import pandas as pd  
 import numpy as np  
 import os  
-from pathlib import Path  
   
 # Configure the page to be mobile-friendly  
 st.set_page_config(layout="centered", page_title="Restaurant Data Viewer")  
@@ -96,10 +95,6 @@ def authenticate(username, password):
         return True  
     return False  
   
-# Function to trigger rerun  
-def trigger_rerun():  
-    st.experimental_set_query_params(rerun=str(pd.Timestamp.now()))  
-  
 # Authentication block  
 if not st.session_state.authenticated:  
     st.title("Login")  
@@ -109,37 +104,37 @@ if not st.session_state.authenticated:
         if authenticate(username, password):  
             st.session_state.authenticated = True  
             st.session_state.just_logged_in = True  
-            trigger_rerun()  
+            st.experimental_rerun()  
         else:  
             st.error("Invalid username or password")  
 elif st.session_state.just_logged_in:  
     st.session_state.just_logged_in = False  
-    trigger_rerun()  
+    st.experimental_rerun()  
 else:  
     # Sidebar for logo, file upload, and file management  
     with st.sidebar:  
         st.image(SIDEBAR_LOGO_URL, use_column_width=True)  
-          
+  
         st.title("File Management")  
-          
+  
         # File uploader  
         uploaded_file = st.file_uploader("Choose an Excel file", type="xlsx")  
-          
+  
         if uploaded_file:  
             try:  
                 # Save the uploaded file  
                 file_path = os.path.join(UPLOAD_DIR, uploaded_file.name)  
                 with open(file_path, "wb") as f:  
                     f.write(uploaded_file.getbuffer())  
-                  
+  
                 st.success(f"File '{uploaded_file.name}' uploaded successfully.")  
-                  
+  
                 df = load_data(file_path)  
                 st.session_state.df = df  
-              
+  
             except Exception as e:  
                 st.error(f"An error occurred: {e}")  
-          
+  
         # Manage existing files  
         st.subheader("Manage Existing Files")  
         existing_files = [f for f in os.listdir(UPLOAD_DIR) if f.endswith(".xlsx")]  
@@ -148,8 +143,8 @@ else:
             if st.button("Delete Selected File"):  
                 os.remove(os.path.join(UPLOAD_DIR, selected_file))  
                 st.success(f"File '{selected_file}' deleted successfully.")  
-                trigger_rerun()  
-              
+                st.experimental_rerun()  
+  
             if st.button("Load Selected File") or st.session_state.df is None:  
                 try:  
                     file_path = os.path.join(UPLOAD_DIR, selected_file)  
@@ -159,19 +154,19 @@ else:
                     st.error(f"An error occurred: {e}")  
         else:  
             st.info("No files available.")  
-      
+  
     # Display the main logo  
     st.image(MAIN_LOGO_URL, use_column_width=True)  
-      
+  
     st.title("Restaurant Data Viewer")  
-      
+  
     # Display and filter the loaded dataframe if available  
     if st.session_state.df is not None:  
         df = st.session_state.df  
-          
+  
         # Define required columns  
         required_columns = ['Name', 'Cuisine', 'Location', 'Restaurant Type', 'Expiry Date', 'Website', 'Directions']  
-          
+  
         # Verify required columns  
         missing_columns = verify_columns(df, required_columns)  
         if missing_columns:  
@@ -179,16 +174,16 @@ else:
         else:  
             # Format the expiry date column to remove time  
             df = format_date_column(df, 'Expiry Date')  
-              
+  
             # Display the dataframe  
             st.subheader("Loaded Data")  
             st.dataframe(df)  
-              
+  
             # Filter functionality  
             st.subheader("Filters")  
             # Use columns for a more responsive layout  
             col1, col2, col3, col4, col5 = st.columns(5)  
-              
+  
             with col1:  
                 # Filter by Name  
                 name_filter = st.text_input("Name contains")  
@@ -204,10 +199,10 @@ else:
             with col5:  
                 # Filter by Expiry Date  
                 expiry_date_filter = st.date_input("Expiry Date", [])  
-              
+  
             # Apply filters  
             filtered_df = df.copy()  
-              
+  
             if name_filter:  
                 filtered_df = filtered_df[filtered_df['Name'].str.contains(name_filter, case=False, na=False)]  
             if cuisine_filter:  
@@ -222,14 +217,14 @@ else:
                 elif len(expiry_date_filter) == 2:  
                     start_date, end_date = expiry_date_filter  
                     filtered_df = filtered_df[(filtered_df['Expiry Date'] >= start_date) & (filtered_df['Expiry Date'] <= end_date)]  
-              
+  
             # Display the filtered dataframe in a tile format  
             st.subheader("Filtered Data")  
             if not filtered_df.empty:  
                 num_cols = 3  # Number of columns for the tile layout  
                 cols = st.columns(num_cols)  
                 display_tiles(filtered_df, cols)  
-                  
+  
                 # Download button for filtered data  
                 csv = convert_df_to_csv(filtered_df)  
                 st.download_button(  
@@ -239,4 +234,4 @@ else:
                     mime='text/csv',  
                 )  
             else:  
-                st.info("No data matches the filter criteria.") 
+                st.info("No data matches the filter criteria.")