File size: 1,897 Bytes
848bdee 9188a39 848bdee 9188a39 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 |
import gradio as gr
import numpy as np
import json
from codette_quantum_multicore2 import simple_neural_activator, codette_dream_agent, philosophical_perspective
def simulate_quantum_chaos(quantum_state, chaos_state):
try:
q_vec = [float(x) for x in quantum_state.split(",")]
c_vec = [float(x) for x in chaos_state.split(",")]
neural = simple_neural_activator(q_vec, c_vec)
dreamq, dreamc = codette_dream_agent(q_vec, c_vec)
philosophy = philosophical_perspective(q_vec, c_vec)
return (
f"Neural Activation: {neural}\n",
f"Dream Quantum: {dreamq[:3]}\nDream Chaos: {dreamc[:3]}\n",
philosophy
)
except Exception as e:
return ("Error", str(e), "")
def codette_chatbot(input_text):
# Placeholder response logic (can be replaced with actual Codette core integration)
return f"Codette: I see you said '{input_text}'. Let's reflect together..."
quantum_input = gr.Textbox(label="Quantum State (comma-separated)", placeholder="0.1,0.5,0.8")
chaos_input = gr.Textbox(label="Chaos State (comma-separated)", placeholder="0.3,0.9,0.2")
quantum_btn = gr.Button("Simulate")
quantum_output = [
gr.Textbox(label="Neural Class"),
gr.Textbox(label="Dream Outcome"),
gr.Textbox(label="Philosophy")
]
chatbox = gr.ChatInterface(fn=codette_chatbot, chatbot_name="Codette")
with gr.Blocks() as demo:
gr.Markdown("## 🧠 Codette Hybrid Space: Chat + Quantum Simulation")
with gr.Tab("Quantum Simulator"):
quantum_input.render()
chaos_input.render()
quantum_btn.render()
for out in quantum_output:
out.render()
quantum_btn.click(simulate_quantum_chaos, inputs=[quantum_input, chaos_input], outputs=quantum_output)
with gr.Tab("Codette Chat"):
chatbox.render()
if __name__ == "__main__":
demo.launch()
|