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Elon Musk ColoBit Safe?? non-Working test idea with interface changes/ Data exchange?
https://chat.openai.com/share/35067e8a-1a88-480c-a561-754a33d0fad1
import asyncio
import aiosqlite
from textblob import TextBlob
import numpy as np
import pennylane as qml
import customtkinter
import re
from llama_cpp import Llama
# Initialize Llama model
llama_model_path = "path_to_llama_model"
llama_model = Llama(model_path=llama_model_path)
# Quantum Circuit for Color Mixing
@qml.qnode(qml.device("default.qubit", wires=6))
def quantum_color_mixer(color_code_1, color_code_2, amplitude_1, amplitude_2):
r1, g1, b1 = [int(color_code_1[i:i+2], 16) / 255.0 for i in (0, 2, 4)]
r2, g2, b2 = [int(color_code_2[i:i+2], 16) / 255.0 for i in (0, 2, 4)]
qml.RY(np.pi * r1 * amplitude_1, wires=0)
qml.RY(np.pi * g1 * amplitude_1, wires=1)
qml.RY(np.pi * b1 * amplitude_1, wires=2)
qml.RY(np.pi * r2 * amplitude_2, wires=3)
qml.RY(np.pi * g2 * amplitude_2, wires=4)
qml.RY(np.pi * b2 * amplitude_2, wires=5)
for i in range(3):
qml.CNOT(wires=[i, i + 3])
return qml.probs(wires=range(6))
# Function to Generate Color Code with Llama2
async def generate_color_code_with_llama2(prompt):
analysis = TextBlob(prompt)
sentiment_score = analysis.sentiment.polarity
amplitude = (sentiment_score + 1) / 2
while True:
color_prompt = "Generate a single map to emotion html color code based upon the following text: " + prompt
color_response = llama_model(color_prompt, max_tokens=350)['choices'][0]['text'].strip()
print("Llama model's reply:", color_response)
match = re.search(r'#[0-9a-fA-F]{6}', color_response)
if match:
return match.group(0)
# Function to Retrieve Last Bot Reply
async def get_last_bot_reply():
async with aiosqlite.connect('database.db') as db:
async with db.execute("SELECT response FROM local_responses WHERE user_id = 'bot' ORDER BY id DESC LIMIT 1") as cursor:
row = await cursor.fetchone()
return row[0] if row else None
# Function to Convert Quantum State to Color Code
def mixed_state_to_color_code(mixed_state):
norm_probs = mixed_state / np.sum(mixed_state)
r = int(sum(norm_probs[:2]) * 255)
g = int(sum(norm_probs[2:4]) * 255)
b = int(sum(norm_probs[4:]) * 255)
return f'#{r:02x}{g:02x}{b:02x}'
# Main Logic to Process User Input and Update GUI
async def process_and_update(user_input, app):
user_color_code = await generate_color_code_with_llama2(user_input)
last_bot_reply = await get_last_bot_reply()
bot_color_code = await generate_color_code_with_llama2(last_bot_reply) if last_bot_reply else "#FFFFFF"
user_amplitude = (TextBlob(user_input).sentiment.polarity + 1) / 2
bot_amplitude = (TextBlob(last_bot_reply).sentiment.polarity + 1) / 2 if last_bot_reply else 0.5
mixed_state = quantum_color_mixer(user_color_code, bot_color_code, user_amplitude, bot_amplitude)
mixed_color_code = mixed_state_to_color_code(mixed_state)
app.update_color_box(mixed_color_code)
# GUI Update Function
class App(customtkinter.CTk):
def __init__(self, user_identifier):
super().__init__()
self.user_id = user_identifier
self.setup_gui()
def setup_gui(self):
self.color_box = customtkinter.CTkFrame(self, width=180, height=180, corner_radius=10)
self.color_box.grid(row=0, column=0, padx=10, pady=10)
def update_color_box(self, color_code):
self.color_box.configure(bg_color=color_code)
# Running the Application
if __name__ == "__main__":
user_id = "user123"
app = App(user_id)
asyncio.run(process_and_update("User's input text", app))
app.mainloop()
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