Update app.py

app.py

@@ -42,14 +42,6 @@ book_files = {
     ]
 }
 
-# Define function to read CSV file from GitHub
-def read_csv_from_github(file_path):
-    response = requests.get(f"https://raw.githubusercontent.com/halimbahae/Hadith/main/{file_path}")
-    if response.status_code == 200:
-        return pd.read_csv(response.text)
-    else:
-        return None
-
 # Main Streamlit app
 def main():
     st.title("Hadith Viewer")
@@ -59,8 +51,6 @@ def main():
     selected_files = book_files[selected_book]
     selected_file = st.sidebar.selectbox("Select a File", selected_files)
 
-    csv_df = read_csv_from_github(selected_file)
-
     st.sidebar.subheader("Files in Selected Book")
     for file in selected_files:
         st.sidebar.write(file)
@@ -68,20 +58,24 @@ 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 'Mufassala' version or not.")
 
-    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 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 __name__ == "__main__":
     main()