Update app.py

app.py

@@ -54,9 +54,37 @@ def main():
     st.sidebar.subheader("Description")
     st.sidebar.write("This is a viewer for the Hadith collections. You can select a book from the dropdown menu on the left, and choose whether you want to view the 'Detailler' version or not.")
 
+    # Dark/Light mode button
+    theme = st.sidebar.radio("Choose Theme", ("Dark", "Light"))
+    if theme == "Dark":
+        st.markdown(
+            """
+            <style>
+            .css-17eq0hr {
+                color: white;
+                background-color: #1e1e1e;
+            }
+            </style>
+            """,
+            unsafe_allow_html=True,
+        )
+    else:
+        st.markdown(
+            """
+            <style>
+            .css-17eq0hr {
+                color: black;
+                background-color: #f4f4f4;
+            }
+            </style>
+            """,
+            unsafe_allow_html=True,
+        )
+
     # Display image on HOME click
     if st.sidebar.button("HOME"):
         st.image("https://raw.githubusercontent.com/halimbahae/Hadith/main/Hadith_Books.jpg", caption="Hadith Books", use_column_width=True)
+        st.write("This is a viewer for the Hadith collections. You can select a book from the dropdown menu on the left, and choose whether you want to view the 'Detailler' version or not.")
 
     # Load CSV file immediately when selected from the list
     file_url = f"https://raw.githubusercontent.com/halimbahae/Hadith/main/{selected_book}/{selected_file}"
@@ -65,15 +93,6 @@ def main():
     if csv_df is not None:
         # Display dataframe with search, filters, and pagination
         st.dataframe(csv_df)
-        # Show rows per page selector
-        rows_per_page = st.number_input("Rows per Page", min_value=1, value=10)
-        # Show page number selector
-        page_number = st.number_input("Page Number", min_value=1, value=1)
-        # Slice dataframe based on page number and rows per page
-        start_idx = (page_number - 1) * rows_per_page
-        end_idx = start_idx + rows_per_page
-        paginated_df = csv_df.iloc[start_idx:end_idx]
-        st.write(paginated_df)
     else:
         st.error("Error loading CSV file")