Update app.py

app.py

@@ -298,19 +298,16 @@ if filtered_df.empty:
     st.warning("No results found. Try adjusting the filters.")
 else:
     # Pagination controls
-    page_size = st.sidebar.selectbox("Rows per page", [10, 20, 50], index=0)
-    page_number = st.sidebar.number_input(
-        "Page number",
-        min_value=1,
-        max_value=(len(filtered_df) // page_size) + 1,
-        step=1,
-        value=1
-    )
-    start_index = (page_number - 1) * page_size
-    end_index = start_index + page_size
+    total_rows = len(filtered_df)
+    page_size = st.sidebar.selectbox("Rows per page", [5, 10, 20, 50], index=1)
+    total_pages = (total_rows + page_size - 1) // page_size  # Calculate total pages
+    page_number = st.sidebar.slider("Page number", 1, total_pages, 1)
 
-    # Paginated table
-    st.dataframe(filtered_df.iloc[start_index:end_index], use_container_width=True)
+    # Display current page rows
+    start_idx = (page_number - 1) * page_size
+    end_idx = start_idx + page_size
+    st.write(f"Displaying rows {start_idx + 1} to {min(end_idx, total_rows)} of {total_rows}")
+    st.dataframe(filtered_df.iloc[start_idx:end_idx], use_container_width=True)
 
     # Visualization of selected metric
     st.subheader("Performance Metrics Visualization")
@@ -376,12 +373,7 @@ else:
         mime="text/csv"
     )
 
-
-
-
-
-
-# with bubble plot
+    # with bubble plot
 
 # import streamlit as st
 # import pandas as pd