Update app.py

app.py

@@ -62,7 +62,7 @@ api_login = st.sidebar.text_input("API Login", value="[email protected]
 api_key = st.sidebar.text_input("API Key", type="password")
 
 st.sidebar.title("Filters")
-st.sidebar.info ("A maximum of 8 filters are allowed through the API. That includes one for every comma-separated value below, one for every value not equal to 0 in the boxes, one for language, and one for each button ticked.")
+st.sidebar.info("A maximum of 8 filters are allowed through the API. That includes one for every comma-separated value below, one for every value not equal to 0 in the boxes, one for language, and one for each button ticked.")
 url_from_not_contain = st.sidebar.text_input("URL from does not contain (comma-separated)", value="keyword,blogspot,/search,/tag")
 backlink_spam_score = st.sidebar.number_input("Backlink Spam Score ≤", value=20)
 page_from_rank_value = st.sidebar.number_input("Page From Rank Value ≥", value=0)
@@ -132,7 +132,7 @@ if reset:
 
 row_count = st.session_state.get("row_count", 1)
 
-generate_button = st.sidebar.button("Generate All")  # Define generate_button before its first use
+generate_button = st.sidebar.button("Generate All")
 
 if generate_button:
     jobs = Queue()
@@ -171,5 +171,20 @@ for i in range(row_count):
             file_name=f'backlinks_{i + 1}.csv',
             mime='text/csv',
         )
-    elif df is None and generate_button:
-        cols[1].error(f"Failed to generate CSV for URL {i + 1}: No data returned from the API or data processing error.")
+
+# Function to concatenate all DataFrames and convert to CSV for download
+def concatenate_dfs_and_download():
+    dfs = [st.session_state[key] for key in st.session_state.keys() if key.startswith('df_') and st.session_state[key] is not None]
+    if dfs:
+        combined_df = pd.concat(dfs, ignore_index=True)
+        csv = combined_df.to_csv(index=False).encode('utf-8')
+        st.sidebar.download_button(
+            label="Download All as CSV",
+            data=csv,
+            file_name='all_backlinks.csv',
+            mime='text/csv',
+        )
+    else:
+        st.sidebar.write("No data available to download.")
+
+concatenate_dfs_and_download()