Update app.py

app.py

@@ -1,6 +1,5 @@
 import streamlit as st
 import pandas as pd
-import requests
 
 # Define array of file paths for each book
 book_files = {
@@ -42,25 +41,19 @@ book_files = {
     ]
 }
 
-# Main Streamlit app
 def main():
-    st.title("Hadith Viewer")
-
     st.sidebar.title("Navigation")
     st.sidebar.subheader("Actions")
     if st.sidebar.button("Home"):
         display_home()
-
     st.sidebar.title("Books")
     selected_book = st.sidebar.selectbox("Select a Book", list(book_files.keys()))
-
     selected_files = book_files[selected_book]
     selected_file = st.sidebar.selectbox("Select a File", selected_files)
 
     # Load CSV file immediately when selected from the list
     file_url = f"https://raw.githubusercontent.com/halimbahae/Hadith/main/{selected_book}/{selected_file}"
     csv_df = pd.read_csv(file_url, header=None)  # Assuming no header in CSV files
-
     if csv_df is not None:
         # Display dataframe with search
         display_table(csv_df)
@@ -75,7 +68,9 @@ def display_table(csv_df):
     st.write("### Table View")
     search_query = st.sidebar.text_input("Search", "")
     filtered_df = csv_df[csv_df.apply(lambda row: row.astype(str).str.contains(search_query, case=False).any(), axis=1)]
-    st.dataframe(filtered_df.style.set_properties(**{'font-size': f'{font_size}px'}))
+    styled_df = filtered_df.style.set_properties(**{'font-size': f'{font_size}px'})
+    st.dataframe(styled_df)
 
 if __name__ == "__main__":
-    main()
+    display_home()
+    main()