removing double newlines, somehow getting added

app.py

@@ -133,7 +133,9 @@ def predict(
   cleaned_final_chat_response = []
   for human_chat, bot_chat in final_chat_response:
     human_chat = human_chat.replace("<br>", "")
+    human_chat = human_chat.replace("\n\n", "\n")
     bot_chat = bot_chat.replace("<br>", "")
+    bot_chat = bot_chat.replace("\n\n", "\n")
     cleaned_final_chat_response.append( (human_chat, bot_chat) )
   
   print(">>>>>>>>>>>> KEYY. final_chat_response -- AFTER CLEANING -----:", cleaned_final_chat_response)
@@ -141,16 +143,12 @@ def predict(
   # Pinecone context retrieval
   top_context_list = ta.retrieve_contexts_from_pinecone(user_question=inputs, topk=NUM_ANSWERS_GENERATED)
   # yield chat, history, top_context_list[0], top_context_list[1], top_context_list[2], []
-  print("2. final_chat_response", final_chat_response)
-  print("2. history:", history)
-  yield None, history, top_context_list[0], top_context_list[1], top_context_list[2], []
+  yield cleaned_final_chat_response, history, top_context_list[0], top_context_list[1], top_context_list[2], []
 
-  print("3. final_chat_response", final_chat_response)
-  print("3. history:", history)
   # run CLIP
   images_list = ta.clip_text_to_image(inputs)
   # yield chat, history, top_context_list[0], top_context_list[1], top_context_list[2], images_list
-  yield None, history, top_context_list[0], top_context_list[1], top_context_list[2], images_list
+  yield cleaned_final_chat_response, history, top_context_list[0], top_context_list[1], top_context_list[2], images_list
 
 
 def reset_textbox():