fix due to removing singleton pattern

Author: BBC-Esq

src/chat_kobold.py

@@ -88,7 +88,7 @@ def save_metadata_to_file(self, metadata_list):
 
     def ask_kobold(self, query, selected_database):
         if self.query_vector_db is None or self.query_vector_db.selected_database != selected_database:
-            self.query_vector_db = QueryVectorDB(selected_database)
+            self.query_vector_db = QueryVectorDB.get_instance(selected_database)
 
         contexts, metadata_list = self.query_vector_db.search(query)
 

src/chat_lm_studio.py

@@ -98,31 +98,31 @@ def save_metadata_to_file(self, metadata_list):
 
     def ask_local_chatgpt(self, query, selected_database):
         if self.query_vector_db is None or self.query_vector_db.selected_database != selected_database:
-            self.query_vector_db = QueryVectorDB(selected_database)
-        
+            self.query_vector_db = QueryVectorDB.get_instance(selected_database)
+
         contexts, metadata_list = self.query_vector_db.search(query)
-        
+
         self.save_metadata_to_file(metadata_list)
-        
+
         if not contexts:
             self.signals.error_signal.emit("No relevant contexts found.")
             self.signals.finished_signal.emit()
             return
-        
+
         augmented_query = f"{rag_string}\n\n---\n\n" + "\n\n---\n\n".join(contexts) + f"\n\n-----\n\n{query}"
 
         full_response = ""
         response_generator = self.connect_to_local_chatgpt(augmented_query)
         for response_chunk in response_generator:
             self.signals.response_signal.emit(response_chunk)
             full_response += response_chunk
-        
+
         with open('chat_history.txt', 'w', encoding='utf-8') as f:
             normalized_response = normalize_chat_text(full_response)
             f.write(normalized_response)
-        
+
         self.signals.response_signal.emit("\n")
-        
+
         citations = self.handle_response_and_cleanup(full_response, metadata_list)
         self.signals.citations_signal.emit(citations)
         self.signals.finished_signal.emit()

src/chat_local_model.py

@@ -171,7 +171,7 @@ def _local_model_process(conn, model_name): # child process for local model's ge
                     if message.type == MessageType.QUESTION:
                         user_question, _, selected_database = message.payload
                         if query_vector_db is None or current_database != selected_database:
-                            query_vector_db = QueryVectorDB(selected_database)
+                            query_vector_db = QueryVectorDB.get_instance(selected_database)
                             current_database = selected_database
                         contexts, metadata_list = query_vector_db.search(user_question)
                         if not contexts:

src/chat_openai.py

@@ -112,7 +112,7 @@ def save_metadata_to_file(self, metadata_list):
 
     def ask_chatgpt(self, query, selected_database):
         if self.query_vector_db is None or self.query_vector_db.selected_database != selected_database:
-            self.query_vector_db = QueryVectorDB(selected_database)
+            self.query_vector_db = QueryVectorDB.get_instance(selected_database)
 
         contexts, metadata_list = self.query_vector_db.search(query)