and a BONUS. here is a QKD Idea gpl 2 freedomcode.
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()
thank you replit.com thank you sooo much for enacting. compassionate understanding.