Update app.py

app.py

@@ -51,31 +51,31 @@ def main():
     selected_files = book_files[selected_book]
     selected_file = st.sidebar.selectbox("Select a File", selected_files)
 
-    st.sidebar.subheader("Files in Selected Book")
-    for file in selected_files:
-        st.sidebar.write(file)
-
     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 'Mufassala' version or not.")
+    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.")
+
+    # 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)
+
+    # 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 st.button("View File"):
-        file_url = f"https://raw.githubusercontent.com/halimbahae/Hadith/main/{selected_book}/{selected_file}"
-        csv_df = pd.read_csv(file_url)
-        
-        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")
+    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")
 
 if __name__ == "__main__":
     main()