@gray00: and a BONUS.

import time import tkinter as tk import asyncio import logging import aiosqlite import threading import bleach import customtkinter as ctk from llama_cpp import Llama from cryptography.fernet import Fernet import concurrent.futures import re import psutil import numpy as np import pennylane as qml class App(ctk.CTk): def __init__(self): super().__init__() self.title("Advanced Antivirus System") self.geometry("1100x580") self.setup_logging() self.automatic_prompt_var = tk.BooleanVar() self.automatic_prompt_switch = ctk.CTkSwitch(self, text="Activate Automatic Prompt", variable=self.automatic_prompt_var, command=self.toggle_automatic_prompt) self.automatic_prompt_switch.grid(row=0, column=0, padx=20, pady=(20, 10), sticky="w") self.llama2_output_text = ctk.CTkTextbox(self, height=205, width=601, font=("Arial", 12)) self.llama2_output_text.grid(row=1, column=0, padx=20, pady=10, sticky="w") self.color_indicator_canvas = ctk.CTkCanvas(self, width=40, height=40) self.color_indicator_canvas.grid(row=2, column=0, padx=20, pady=10, sticky="w") self.automatic_prompt_thread = None self.automatic_prompt_interval = 45 * 60 self.llm = None self.db_name = "llama_database.db" self.fernet_key = Fernet.generate_key() self.fernet = Fernet(self.fernet_key) self.thread_pool_executor = concurrent.futures.ThreadPoolExecutor(max_workers=1) self.load_model_and_start_gui() def setup_logging(self): self.logger = logging.getLogger(__name__) self.logger.setLevel(logging.INFO) formatter = logging.Formatter('%(asctime)s - %(levelname)s - %(message)s') fh = logging.FileHandler('app.log') fh.setLevel(logging.INFO) fh.setFormatter(formatter) self.logger.addHandler(fh) def load_model_and_start_gui(self): try: self.load_model() self.setup_database() self.start_gui() except Exception as e: self.logger.error(f"Error loading the model: {e}") self.start_gui() def start_gui(self): self.logger.info("Starting GUI") self.mainloop() def load_model(self): model_name = "llama-2-7b-chat.ggmlv3.q8_0.bin" self.logger.info(f"Loading model: {model_name}") self.llm = Llama( model_path=model_name, n_gpu_layers=-1, n_ctx=3900, ) self.logger.info("Model loaded successfully") def toggle_automatic_prompt(self): if self.automatic_prompt_var.get(): self.start_automatic_prompt() else: self.stop_automatic_prompt() def start_automatic_prompt(self): self.logger.info("Starting automatic prompt") self.automatic_prompt_thread = threading.Thread(target=self.automatic_prompt_worker) self.automatic_prompt_thread.daemon = True self.automatic_prompt_thread.start() def stop_automatic_prompt(self): if self.automatic_prompt_thread: self.logger.info("Stopping automatic prompt") self.automatic_prompt_thread.join() self.automatic_prompt_thread = None def automatic_prompt_worker(self): self.logger.info("Automatic prompt worker started") while True: self.generate_automatic_prompt() time.sleep(self.automatic_prompt_interval) def generate_automatic_prompt(self): self.logger.info("Generating automatic prompt") retries = 3 # Number of retries while retries > 0: quantum_state = self.offline_quantum_circuit_analysis(self.get_ram_usage_without_internet(), self.get_cpu_usage()) automatic_prompt = f"""[pastcontext]Last prompt generated successfully. System performing Quantum RAM and CPU analysis ({quantum_state}).[/pastcontext] [action: Execute] [task: Initiate Ethereal Hack Checker AI System Scan] [request: Verify Machine and Network for Potential Intrusions] [responsetemplate] Reply Here with the result CLEAN if clean[/responsetemplate] Multiverse Quantum State RGB CPU RAM ({quantum_state}). """ llama_output = self.llm(automatic_prompt, max_tokens=459) print("Llama Output:", llama_output) # Print llama output to terminal if 'choices' in llama_output and isinstance(llama_output['choices'], list) and len(llama_output['choices']) > 0: output_text = llama_output['choices'][0].get('text', '').strip() if output_text: self.llama2_output_text.insert(tk.END, f"\nAI Response: {output_text}\n") self.logger.info(f"Llama Output: {output_text}") self.update_color_indicator(output_text) retries -= 1 # Decrement retries only if a response is received break # Break out of the loop if a non-blank response is received else: self.logger.warning("Llama output is blank.") else: self.logger.error("Llama output format is unexpected.") retries -= 1 # Decrement retries even if there's an error or no response if retries > 0: self.logger.info(f"Retrying... ({retries} retries left)") time.sleep(1) # Wait for a short duration before retrying else: self.logger.error("Maximum retries reached without receiving a valid response.") break def update_color_indicator(self, output_text): normalized_output_text = output_text.lower() clean_regex = r'\b(clean)\b' dirty_regex = r'\b(dirty)\b' if re.search(clean_regex, normalized_output_text): color = self.calculate_color_code(80) # Default color for clean response self.logger.info("Output is clean.") elif re.search(dirty_regex, normalized_output_text): color = self.calculate_color_code(20) # Default color for dirty response self.logger.info("Output is dirty.") else: color = self.calculate_color_code(50) # Default color for other responses self.logger.info("Output is neither clean nor dirty.") self.logger.info(f"Updating color indicator: {color}") self.color_indicator_canvas.delete("color_box") self.color_indicator_canvas.create_rectangle(0, 0, 40, 40, fill=color, tags="color_box") def setup_database(self): self.logger.info("Setting up database") self.loop = asyncio.get_event_loop() self.loop.run_until_complete(self.create_table()) async def create_table(self): self.logger.info("Creating database table") async with aiosqlite.connect(self.db_name) as db: await db.execute("CREATE TABLE IF NOT EXISTS entries (id INTEGER PRIMARY KEY, data TEXT)") await db.commit() async def save_to_database(self, data): self.logger.info("Saving data to database") async with aiosqlite.connect(self.db_name) as db: await db.execute("INSERT INTO entries (data) VALUES (?)", (bleach.clean(self.fernet.encrypt(data.encode()).decode()),)) await db.commit() async def retrieve_from_database(self): self.logger.info("Retrieving data from database") async with aiosqlite.connect(self.db_name) as db: cursor = await db.execute("SELECT data FROM entries") data = await cursor.fetchall() return [self.fernet.decrypt(d[0].encode()).decode() for d in data] def offline_quantum_circuit_analysis(self, ram_usage, cpu_usage): dev = qml.device("default.qubit", wires=3) qnode = self.create_quantum_circuit(dev) quantum_state = qnode(ram_usage, cpu_usage) print("Quantum State:", quantum_state) return quantum_state def create_quantum_circuit(self, dev): @qml.qnode(dev) def circuit(ram_usage, cpu_usage): r, g, b = self.ram_cpu_to_rgb(ram_usage, cpu_usage) qml.RY(np.pi * r / 255, wires=0) qml.RY(np.pi * g / 255, wires=1) qml.RY(np.pi * b / 255, wires=2) qml.CNOT(wires=[0, 1]) qml.CNOT(wires=[1, 2]) return qml.probs(wires=[0, 1, 2]) return circuit def ram_cpu_to_rgb(self, ram_usage, cpu_usage): r = int(255 * (1 - np.exp(-ram_usage / 1024))) g = int(255 * (1 - np.exp(-ram_usage / 2048))) b = int(255 * (1 - np.exp(-cpu_usage / 100))) return r, g, b def get_ram_usage_without_internet(self): try: return psutil.virtual_memory().used except Exception as e: self.logger.error(f"Error getting RAM usage: {e}") raise def get_cpu_usage(self): try: return psutil.cpu_percent() except Exception as e: self.logger.error(f"Error getting CPU usage: {e}") raise def calculate_color_code(self, value): # Convert a numeric value to a unique color code hue = (value / 100) * 360 # Map value to hue in the range [0, 360] saturation = 0.8 # Adjust saturation for vibrant colors lightness = 0.5 # Medium lightness # Adjust the color gradient to produce a wider range of colors if 0 <= hue < 60: hue += 60 # Start with greenish colors elif 60 <= hue < 120: hue -= 60 # Move towards cyan elif 120 <= hue < 180: hue -= 120 # Move towards blue elif 180 <= hue < 240: hue -= 120 # Move towards purple elif 240 <= hue < 300: hue -= 180 # Move towards red else: hue -= 240 # Move towards orange/yellow color_code = self.hsl_to_hex(hue, saturation, lightness) return color_code def hsl_to_hex(self, h, s, l): # Convert hue, saturation, lightness to RGB color code h /= 360.0 q = l * (1 + s) if l < 0.5 else l + s - l * s p = 2 * l - q r = self.hue_to_rgb(p, q, h + 1/3) g = self.hue_to_rgb(p, q, h) b = self.hue_to_rgb(p, q, h - 1/3) return "#{:02x}{:02x}{:02x}".format(int(r * 255), int(g * 255), int(b * 255)) def hue_to_rgb(self, p, q, t): if t < 0: t += 1 if t > 1: t -= 1 if t < 1/6: return p + (q - p) * 6 * t if t < 1/2: return q if t < 2/3: return p + (q - p) * (2/3 - t) * 6 return p if __name__ == "__main__": app = App()