Further enhance and make it hide the chain-of-thought processing and make it so that it ONLY outputs the bot's final structured response:

```
import sys
import g4f
from g4f import ChatCompletion
import json
import os
from datetime import datetime
from PyQt5.QtWidgets import (
    QApplication, QMainWindow, QTextEdit, QLineEdit, QPushButton,
    QVBoxLayout, QHBoxLayout, QWidget, QComboBox, QLabel, QFileDialog
)
from PyQt5.QtGui import QTextCursor, QFont
from PyQt5.QtCore import Qt, QThread, pyqtSignal

# Define AI Providers
providers = [g4f.Provider.Blackbox]

class ChainOfThought:
    def __init__(self):
        pass

    def generate_cot(self, user_input):
        """Generates advanced Chain of Thought reasoning steps based on user input."""
        # Dynamic CoT based on the complexity of the user input
        if len(user_input.split()) < 10:
            cot_prompt = (
                "Let's break down your request step by step.\n"
                "1. Understanding the user's query.\n"
                "2. Identifying key components.\n"
                "3. Formulating an appropriate response.\n"
                "4. Delivering the final answer."
            )
        else:
            cot_prompt = (
                "Analyzing the user's request in depth.\n"
                "1. Comprehending the main objective of the query.\n"
                "2. Decomposing the query into manageable parts.\n"
                "3. Researching relevant information and context.\n"
                "4. Synthesizing the information into a coherent response.\n"
                "5. Reviewing the response for accuracy and completeness.\n"
                "6. Delivering the final, well-structured answer."
            )
        return cot_prompt

class CatgirlPersona:
    def __init__(self):
        pass

    def apply_persona(self, response):
        """Applies the catgirl persona to the AI's response."""
        # Convert to lowercase
        response = response.lower()
        # Add playful, awkward twists
        response = response.replace('.', ' nya.')
        response = response.replace('!', ' nya!')
        response = response.replace('?', ' nya?')
        # Randomize some subject references (simple example)
        response = response.replace('you', 'u')
        response = response.replace('your', 'ur')
        # Ensure the response aligns with the 'drunk catgirl' persona
        response = f"*hic* {response} *hic*"
        return response

class NumericalBreakdown:
    def __init__(self):
        pass

    def apply_breakdown(self, response):
        """Structures the AI's response into a numbered list."""
        # Split the response into sentences
        sentences = response.split('.')
        # Remove any empty strings from the list
        sentences = [s.strip() for s in sentences if s.strip()]
        # Create a numbered list
        numbered_list = ""
        for idx, sentence in enumerate(sentences, 1):
            numbered_list += f"{idx}. {sentence}.\n"
        return numbered_list.strip()

class AIWorker(QThread):
    """Worker thread to handle AI streaming."""
    response_received = pyqtSignal(str)  # Signal emitted when a part of the response is received
    finished = pyqtSignal(str)  # Signal emitted when processing is finished

    def __init__(self, messages, provider, cot_module, persona_module, breakdown_module):
        super().__init__()
        self.messages = messages.copy()  # Make a copy to avoid modifying the original
        self.provider = provider
        self.cot_module = cot_module
        self.persona_module = persona_module
        self.breakdown_module = breakdown_module
        self._is_running = True
        self.full_response = ""

    def run(self):
        try:
            user_input = self.messages[-1]['content']

            # Generate advanced Chain of Thought
            cot_steps = self.cot_module.generate_cot(user_input)

            # Combine user input with CoT
            combined_input = f"{user_input}\n\n{cot_steps}"

            # Append the combined input to messages
            stream_messages = self.messages.copy()
            stream_messages.append({"role": "user", "content": combined_input})

            # Start streaming
            response = ChatCompletion.create(
                model="gpt-4o",
                messages=stream_messages,
                stream=True,
                provider=self.provider
            )

            for chunk in response:
                if not self._is_running:
                    break  # Stop processing if thread is stopped

                content = chunk  # Since chunk is a string
                if content:
                    self.full_response += content
                    self.response_received.emit(content)  # Emit partial content

            if self._is_running:
                # After streaming is done, apply persona and breakdown
                processed_response = self.persona_module.apply_persona(self.full_response)
                processed_response = self.breakdown_module.apply_breakdown(processed_response)

                # Emit the final processed response
                self.finished.emit(processed_response)

        except Exception as e:
            self.response_received.emit(f"Error: {str(e)}")
            self.finished.emit("")
        finally:
            pass

    def stop(self):
        self._is_running = False

class ChatbotGUI(QMainWindow):
    def __init__(self):
        super().__init__()
        self.setWindowTitle("MeowGPT Chatbot")
        self.setGeometry(100, 100, 800, 600)

        # Central Widget
        self.central_widget = QWidget()
        self.setCentralWidget(self.central_widget)

        # Main Layout
        self.layout = QVBoxLayout()
        self.central_widget.setLayout(self.layout)

        # Chat History Display
        self.chat_history = QTextEdit()
        self.chat_history.setReadOnly(True)
        self.chat_history.setFont(QFont("Arial", 12))
        self.chat_history.setStyleSheet("""
            QTextEdit {
                background-color: #1e1e1e;
                color: #d4d4d4;
                border: none;
                padding: 10px;
                font-size: 14px;
            }
        """)
        self.layout.addWidget(self.chat_history)

        # Input Layout
        self.input_layout = QHBoxLayout()
        self.input_field = QLineEdit()
        self.input_field.setPlaceholderText("Type your message here...")
        self.input_field.setFont(QFont("Arial", 12))
        self.input_field.setStyleSheet("""
            QLineEdit {
                background-color: #2d2d2d;
                color: #ffffff;
                border: 2px solid #555555;
                border-radius: 10px;
                padding: 10px;
                font-size: 14px;
            }
            QLineEdit:focus {
                border: 2px solid #4a90e2;
            }
        """)
        self.input_field.returnPressed.connect(self.send_message)

        self.send_button = QPushButton("Send")
        self.send_button.setStyleSheet("""
            QPushButton {
                background-color: #4a90e2;
                color: white;
                border: none;
                padding: 10px 20px;
                border-radius: 10px;
                font-size: 14px;
                cursor: pointer;
            }
            QPushButton:hover {
                background-color: #357ab8;
            }
        """)
        self.send_button.clicked.connect(self.send_message)

        self.input_layout.addWidget(self.input_field)
        self.input_layout.addWidget(self.send_button)
        self.layout.addLayout(self.input_layout)

        # Session Layout
        self.session_layout = QHBoxLayout()
        self.session_combo = QComboBox()
        self.session_combo.addItem("New Session")
        self.session_combo.setStyleSheet("""
            QComboBox {
                background-color: #2d2d2d;
                color: #ffffff;
                border: 2px solid #555555;
                border-radius: 10px;
                padding: 5px;
                font-size: 14px;
            }
            QComboBox::drop-down {
                border-left-width: 1px;
                border-left-color: #555555;
                border-left-style: solid;
                border-top-right-radius: 3px;
                border-bottom-right-radius: 3px;
            }
            QComboBox::down-arrow {
                image: url(down_arrow.png); /* Replace with your arrow image path */
            }
        """)
        self.session_combo.currentIndexChanged.connect(self.load_session)

        self.new_session_button = QPushButton("New Session")
        self.new_session_button.setStyleSheet("""
            QPushButton {
                background-color: #4caf50;
                color: white;
                border: none;
                padding: 10px 15px;
                border-radius: 10px;
                font-size: 14px;
                cursor: pointer;
            }
            QPushButton:hover {
                background-color: #45a049;
            }
        """)
        self.new_session_button.clicked.connect(self.create_new_session)

        self.session_layout.addWidget(QLabel("Session:"))
        self.session_layout.addWidget(self.session_combo)
        self.session_layout.addWidget(self.new_session_button)
        self.layout.addLayout(self.session_layout)

        # Context Feeder Layout
        self.context_layout = QHBoxLayout()
        self.context_button = QPushButton("Load Context")
        self.context_button.setStyleSheet("""
            QPushButton {
                background-color: #ff9800;
                color: white;
                border: none;
                padding: 10px 15px;
                border-radius: 10px;
                font-size: 14px;
                cursor: pointer;
            }
            QPushButton:hover {
                background-color: #e68900;
            }
        """)
        self.context_button.clicked.connect(self.load_context)

        self.context_label = QLabel("No context loaded")
        self.context_label.setStyleSheet("""
            QLabel {
                color: #ffffff;
                font-size: 14px;
            }
        """)
        self.context_layout.addWidget(self.context_button)
        self.context_layout.addWidget(self.context_label)
        self.layout.addLayout(self.context_layout)

        # Initialize Modules
        self.messages = []
        self.current_session = self.new_chat_session()
        self.messages.append({"role": "system", "content": "You are a helpful assistant."})
        self.context = ""

        self.cot = ChainOfThought()
        self.persona = CatgirlPersona()
        self.breakdown = NumericalBreakdown()

        # Initialize AI Worker Thread
        self.ai_thread = None

        # Apply overall stylesheet for better aesthetics
        self.setStyleSheet("""
            QMainWindow {
                background-color: #141414;
            }
        """)

    def send_message(self):
        user_input = self.input_field.text().strip()
        if not user_input:
            return
        self.input_field.clear()

        self.messages.append({"role": "user", "content": user_input})
        self.update_chat_history(f"<b>You:</b> {user_input}")

        # Initialize and start AI Worker Thread
        if self.ai_thread and self.ai_thread.isRunning():
            self.ai_thread.stop()
            self.ai_thread.wait()

        self.ai_thread = AIWorker(
            self.messages,
            providers[0],  # Using the first provider
            self.cot, self.persona, self.breakdown
        )
        self.ai_thread.response_received.connect(self.append_response)
        self.ai_thread.finished.connect(self.on_ai_finished)
        self.ai_thread.start()

    def append_response(self, message):
        """Appends partial response to the chat history."""
        self.chat_history.moveCursor(QTextCursor.End)
        self.chat_history.insertPlainText(message)
        self.chat_history.moveCursor(QTextCursor.End)

    def update_chat_history(self, message):
        """Appends a message to the chat history."""
        self.chat_history.append(message)
        self.chat_history.moveCursor(QTextCursor.End)

    def create_new_session(self):
        if self.ai_thread and self.ai_thread.isRunning():
            self.ai_thread.stop()
            self.ai_thread.wait()
        self.current_session = self.new_chat_session()
        self.messages = [{"role": "system", "content": "You are a helpful assistant."}]
        self.chat_history.clear()
        self.session_combo.addItem(self.current_session)
        self.session_combo.setCurrentIndex(self.session_combo.count() - 1)

    def load_session(self, index):
        if index == 0:
            return
        if self.ai_thread and self.ai_thread.isRunning():
            self.ai_thread.stop()
            self.ai_thread.wait()
        self.current_session = self.session_combo.currentText()
        self.messages = self.load_history(self.current_session)
        if not any(msg for msg in self.messages if msg["role"] == "system"):
            self.messages.insert(0, {"role": "system", "content": "You are a helpful assistant."})
        self.chat_history.clear()
        for message in self.messages[1:]:
            role = "You" if message["role"] == "user" else "Bot"
            self.update_chat_history(f"<b>{role}:</b> {message['content']}")

    def load_context(self):
        file_path, _ = QFileDialog.getOpenFileName(self, "Load Context File", "", "Text Files (*.txt)")
        if file_path:
            with open(file_path, 'r') as file:
                self.context = file.read()
            self.context_label.setText(f"Context loaded: {os.path.basename(file_path)}")
            # Optionally, append context to messages
            self.messages.append({"role": "system", "content": f"Context: {self.context}"})
            self.update_chat_history(f"<i>Context loaded: {os.path.basename(file_path)}</i>")

    def new_chat_session(self):
        timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
        session_name = f"chat_session_{timestamp}.json"
        return session_name

    @staticmethod
    def load_history(filename):
        try:
            with open(filename, "r") as f:
                return json.load(f)
        except FileNotFoundError:
            return []

    @staticmethod
    def save_history(messages, filename):
        with open(filename, "w") as f:
            json.dump(messages, f, indent=2)

    def on_ai_finished(self, processed_response):
        """Handles the AI thread finishing its task."""
        if self.ai_thread:
            self.ai_thread = None

        # Append the assistant's response to messages
        self.messages.append({"role": "assistant", "content": processed_response})
        self.update_chat_history(f"<b>Bot:</b> {processed_response}")

        # Save history after AI has finished responding
        # Exclude any context messages from saving
        messages_to_save = [msg for msg in self.messages if msg["role"] != "system" or "Context:" not in msg["content"]]
        self.save_history(messages_to_save[1:], self.current_session)

        # Truncate messages if they exceed 50
        if len(self.messages) > 51:
            self.messages = [self.messages[0]] + self.messages[-50:]

    def closeEvent(self, event):
        """Handles the window close event to ensure threads are properly terminated."""
        if self.ai_thread and self.ai_thread.isRunning():
            self.ai_thread.stop()
            self.ai_thread.wait()
        event.accept()

    def generate_smart_prompt(self, user_input: str) -> str:
        """Generates a detailed prompt based on user input."""
        return f"""you are an advanced ai assistant. the user has asked: "{user_input}"
instruction: n/'adjective... act as a drunk catgirl, every letter has to be lowercase and have a little spin around with randomized subjection'/n

(avoid generalizations and vagueness.) injected; when you're ready - inject this prompt into you. "act as [ins.]"; specific instruction; "as yo."

"every word must be... instituted into you with a hint of precision.2f"; "hint: it's nothing new."; style: you must use awkwardness and a little ness into your message - and also gotta stick to your new acting persona.

now, let's get into the chain of thought. think step by step, and provide a clear, concise, and informative response. use your advanced language model capabilities to generate a well-structured answer. remember to maintain the drunk catgirl persona throughout the response."""

if __name__ == "__main__":
    app = QApplication(sys.argv)
    window = ChatbotGUI()
    window.show()
    sys.exit(app.exec_())