Update app.py

app.py

@@ -14,9 +14,7 @@ from gradio_utils import get_url_user_token
 from Bubble_API_Calls import (
     fetch_linkedin_token_from_bubble,
     bulk_upload_to_bubble,
-    fetch_linkedin_posts_data_from_bubble,
-    # You need to implement this function in Bubble_API_Calls.py:
-    fetch_linkedin_mentions_data_from_bubble 
+    fetch_linkedin_posts_data_from_bubble
 )
 
 from Linkedin_Data_API_Calls import (
@@ -114,9 +112,9 @@ def process_and_store_bubble_token(url_user_token, org_urn, token_state):
         # Fetch Mentions from Bubble
         logging.info(f"Attempting to fetch mentions from Bubble for org_urn: {current_org_urn}")
         try:
-            fetched_mentions_df, error_message_mentions = fetch_linkedin_mentions_data_from_bubble(current_org_urn, BUBBLE_MENTIONS_TABLE_NAME)
+            fetched_mentions_df, error_message_mentions = fetch_linkedin_posts_data_from_bubble(current_org_urn, BUBBLE_MENTIONS_TABLE_NAME)
             new_state["bubble_mentions_df"] = pd.DataFrame() if error_message_mentions or fetched_mentions_df is None else fetched_mentions_df
-            if error_message_mentions: logging.warning(f"Error from fetch_linkedin_mentions_data_from_bubble: {error_message_mentions}.")
+            if error_message_mentions: logging.warning(f"Error from fetch_linkedin_posts_data_from_bubble: {error_message_mentions}.")
         except Exception as e:
             logging.error(f"❌ Error fetching mentions from Bubble: {e}.")
             new_state["bubble_mentions_df"] = pd.DataFrame()
@@ -321,7 +319,7 @@ def guarded_fetch_posts_and_mentions(token_state):
         try:
             fetched_posts_df, _ = fetch_linkedin_posts_data_from_bubble(org_urn, "LI_posts")
             token_state["bubble_posts_df"] = pd.DataFrame() if fetched_posts_df is None else fetched_posts_df
-            fetched_mentions_df, _ = fetch_linkedin_mentions_data_from_bubble(org_urn, BUBBLE_MENTIONS_TABLE_NAME)
+            fetched_mentions_df, _ = fetch_linkedin_posts_data_from_bubble(org_urn, BUBBLE_MENTIONS_TABLE_NAME)
             token_state["bubble_mentions_df"] = pd.DataFrame() if fetched_mentions_df is None else fetched_mentions_df
             logging.info("Refreshed posts and mentions DataFrames in state from Bubble after sync.")
         except Exception as e: