Update app.py

app.py

@@ -84,10 +84,6 @@ def process_pasted_data(data):
     reader = csv.reader(data_io, delimiter='\n', quotechar='"')
     return [row[0] for row in reader]
 
-def concatenate_dfs(dfs):
-    combined_df = pd.concat(dfs, ignore_index=True)
-    return combined_df.to_csv(index=False).encode('utf-8')
-
 # Streamlit layout
 st.sidebar.title("DataForSEO API Parameters")
 api_login = st.sidebar.text_input("API Login", value="[email protected]")
@@ -165,29 +161,33 @@ if add_row:
 if reset:
     st.session_state.clear()
 
-# Main app layout with columns
+# Main app layout
 row_count = st.session_state.get("row_count", 1)
-dfs = []  # List to store individual DataFrames
+
+# Create two columns: one for the target URL inputs, and one for the download buttons
+col1, col2 = st.beta_columns(2)
 
 for i in range(row_count):
-    col1, col2 = st.columns(2)
+    target_url_key = f"target_url_{i}"
+
+    # Input fields in the first column
     with col1:
-        target_url_key = f"target_url_{i}"
         target_url = st.text_input(f"Enter the target URL {i + 1}", key=target_url_key)
 
-    df_key = f"df_{i}"
-    df = st.session_state.get(df_key)
-    if df is not None:
-        dfs.append(df)  # Append DataFrame to the list
-        csv = convert_df_to_csv(df)
-        with col2:
+    # Display and download logic for each row in the second column
+    with col2:
+        df_key = f"df_{i}"
+        df = st.session_state.get(df_key)
+        if df is not None:
+            csv = convert_df_to_csv(df)
             st.download_button(
                 label=f"Download data as CSV for URL {i + 1}",
                 data=csv,
                 file_name=f'backlinks_{i + 1}.csv',
                 mime='text/csv',
-                key=f"download_{i}"  # Unique key for each download button
             )
+        elif df is None and generate_button:
+            st.error(f"Failed to generate CSV for URL {i + 1}: No data returned from the API or data processing error.")
 
 # Generate and reset button logic
 generate_button = st.sidebar.button("Generate All")
@@ -215,29 +215,6 @@ if generate_button:
         url_id, df = results.get()
         st.session_state[f"df_{url_id}"] = df
 
-# Check if there's at least one DataFrame available for combined download
-if any(st.session_state.get(f"df_{i}") is not None for i in range(row_count)):
-    if st.sidebar.button("Download Combined CSV"):
-        combined_csv = concatenate_dfs([st.session_state.get(f"df_{i}") for i in range(row_count) if st.session_state.get(f"df_{i}") is not None])
-        st.sidebar.download_button(
-            label="Download Combined Data as CSV",
-            data=combined_csv,
-            file_name='combined_backlinks.csv',
-            mime='text/csv',
-            key="combined_download"  # Unique key for the combined download button
-        )
-
-# Combined CSV download logic - this should be outside of the for loop
-if dfs:
-    combined_csv = concatenate_dfs(dfs)
-    if st.sidebar.button("Download Combined CSV", key="combined_download"):
-        st.sidebar.download_button(
-            label="Download Combined Data as CSV",
-            data=combined_csv,
-            file_name='combined_backlinks.csv',
-            mime='text/csv',
-        )
-
 # Display and download logic for each row
 for i in range(row_count):
     df_key = f"df_{i}"
@@ -251,4 +228,4 @@ for i in range(row_count):
             mime='text/csv',
         )
     elif df is None and generate_button:
-        st.error(f"Failed to generate CSV for URL {i + 1}: No data returned from the API or data processing error.")
+        st.error(f"Failed to generate CSV for URL {i + 1}: No data returned from the API or data processing error.")