diff --git a/neural_network/chatbot/chatbot.py b/neural_network/chatbot/chatbot.py
deleted file mode 100644
index 9de733c94..000000000
--- a/neural_network/chatbot/chatbot.py
+++ /dev/null
@@ -1,135 +0,0 @@
-import datetime
-from typing import List, Dict, Any
-
-
-class Chatbot:
-    """
-    A Chatbot class to manage chat conversations using an LLM service and a database to store chat data.
-
-    Methods:
-    - start_chat: Starts a new conversation, logs the start time.
-    - handle_user_message: Processes user input and stores user message & bot response in DB.
-    - end_chat: Ends the conversation and logs the end time.
-    - continue_chat: Retains only the last few messages if the conversation exceeds 1000 messages.
-    """
-
-    def __init__(self, db: Any, llm_service: Any) -> None:
-        """
-        Initialize the Chatbot with a database and an LLM service.
-
-        Parameters:
-        - db: The database instance used for storing chat data.
-        - llm_service: The language model service for generating responses.
-        """
-        self.db = db
-        self.llm_service = llm_service
-        self.conversation_history: List[Dict[str, str]] = []
-        self.chat_id_pk: int = None
-
-    def start_chat(self) -> None:
-        """
-        Start a new chat session and insert chat history to the database.
-        """
-        start_time = datetime.datetime.now()
-        is_stream = 1  # Start new conversation
-        self.db.insert_chat_history(start_time, is_stream)
-        self.chat_id_pk = self.db.get_latest_chat_id()
-
-    def handle_user_message(self, user_input: str) -> str:
-        """
-        Handle user input and generate a bot response.
-        If the user sends '/stop', the conversation is terminated.
-
-        Parameters:
-        - user_input: The input provided by the user.
-
-        Returns:
-        - bot_response: The response generated by the bot.
-
-        Raises:
-        - ValueError: If user input is not a string or if no chat_id is available.
-
-        Doctest:
-        >>> class MockDatabase:
-        ...     def __init__(self):
-        ...         self.data = []
-        ...     def insert_chat_data(self, *args, **kwargs):
-        ...         pass
-        ...     def insert_chat_history(self, *args, **kwargs):
-        ...         pass
-        ...     def get_latest_chat_id(self):
-        ...         return 1
-        ...
-        >>> class MockLLM:
-        ...     def generate_response(self, conversation_history):
-        ...         if conversation_history[-1]["content"] == "/stop":
-        ...             return "conversation-terminated"
-        ...         return "Mock response"
-        >>> db_mock = MockDatabase()
-        >>> llm_mock = MockLLM()
-        >>> bot = Chatbot(db_mock, llm_mock)
-        >>> bot.start_chat()
-        >>> bot.handle_user_message("/stop")
-        'conversation-terminated'
-        >>> bot.handle_user_message("Hello!")
-        'Mock response'
-        """
-        if not isinstance(user_input, str):
-            raise ValueError("User input must be a string.")
-
-        if self.chat_id_pk is None:
-            raise ValueError("Chat has not been started. Call start_chat() first.")
-
-        self.conversation_history.append({"role": "user", "content": user_input})
-
-        if user_input == "/stop":
-            bot_response = "conversation-terminated"
-            # print(f"Bot: {bot_response}")
-            self.end_chat()
-            return bot_response
-        else:
-            bot_response = self.llm_service.generate_response(self.conversation_history)
-            # print(f"Bot: {bot_response}")
-            self.conversation_history.append(
-                {"role": "assistant", "content": bot_response}
-            )
-            self._store_message_in_db(user_input, bot_response)
-
-        return bot_response
-
-    def _store_message_in_db(self, user_input: str, bot_response: str) -> None:
-        """
-        Store user input and bot response in the database.
-
-        Parameters:
-        - user_input: The message from the user.
-        - bot_response: The response generated by the bot.
-
-        Raises:
-        - ValueError: If insertion into the database fails.
-        """
-        try:
-            self.db.insert_chat_data(self.chat_id_pk, user_input, bot_response)
-        except Exception as e:
-            raise ValueError(f"Failed to insert chat data: {e}")
-
-    def end_chat(self) -> None:
-        """
-        End the chat session and update the chat history in the database.
-        """
-        current_time = datetime.datetime.now()
-        is_stream = 2  # End of conversation
-        try:
-            user_input = "/stop"
-            bot_response = "conversation-terminated"
-            self.db.insert_chat_data(self.chat_id_pk, user_input, bot_response)
-            self.db.insert_chat_history(current_time, is_stream)
-        except Exception as e:
-            raise ValueError(f"Failed to update chat history: {e}")
-
-    def continue_chat(self) -> None:
-        """
-        Retain only the last few entries if the conversation exceeds 1000 messages.
-        """
-        if len(self.conversation_history) > 1000:
-            self.conversation_history = self.conversation_history[-3:]