Update app.py

app.py

@@ -10,6 +10,11 @@ st.set_page_config(layout="centered", page_title="Restaurant Data Viewer")
 MAIN_LOGO_URL = "https://islamictrusthk.org/assets/images/top-logo.png"  
 SIDEBAR_LOGO_URL = "https://bot.islamictrusthk.org/assets/content_files/20240606095159123011.png"  
   
+# Print the versions of the packages  
+st.write(f"Streamlit version: {st.__version__}")  
+st.write(f"Pandas version: {pd.__version__}")  
+st.write(f"Numpy version: {np.__version__}")  
+  
 # Inject custom CSS for better mobile compatibility  
 st.markdown(  
     """  
@@ -90,7 +95,7 @@ def authenticate(username, password):
   
 # Function to trigger rerun  
 def trigger_rerun():  
-    st.experimental_set_query_params(rerun=str(pd.Timestamp.now()))  
+    st.experimental_rerun()  
   
 # Authentication block  
 if not st.session_state.authenticated:  
@@ -100,7 +105,7 @@ if not st.session_state.authenticated:
     if st.button("Login"):  
         if authenticate(username, password):  
             st.session_state.authenticated = True  
-            trigger_rerun()  # Force rerun  
+            trigger_rerun()  
         else:  
             st.error("Invalid username or password")  
 else:  
@@ -124,10 +129,8 @@ else:
                     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}")  
   
@@ -180,13 +183,13 @@ else:
                 name_filter = st.text_input("Name contains")  
             with col2:  
                 # Filter by Cuisine  
-                cuisine_filter = st.multiselect("Cuisine", sorted(pd.unique(df['Cuisine'])))  
+                cuisine_filter = st.multiselect("Cuisine", sorted(df['Cuisine'].drop_duplicates().unique()))  
             with col3:  
                 # Filter by Location  
-                location_filter = st.multiselect("Location", pd.unique(df['Location']))  
+                location_filter = st.multiselect("Location", df['Location'].drop_duplicates())  
             with col4:  
                 # Filter by Restaurant Type  
-                restaurant_type_filter = st.multiselect("Restaurant Type", pd.unique(df['Restaurant Type']))  
+                restaurant_type_filter = st.multiselect("Restaurant Type", df['Restaurant Type'].drop_duplicates())  
             with col5:  
                 # Filter by Expiry Date  
                 expiry_date_filter = st.date_input("Expiry Date", [])