Update app.py
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app.py
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import gradio as gr
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def greet(name):
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return "Hello " + name + "!!"
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import gradio as gr
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import numpy as np
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import json
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from codette_quantum_multicore2 import simple_neural_activator, codette_dream_agent, philosophical_perspective
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def simulate_quantum_chaos(quantum_state, chaos_state):
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try:
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q_vec = [float(x) for x in quantum_state.split(",")]
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c_vec = [float(x) for x in chaos_state.split(",")]
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neural = simple_neural_activator(q_vec, c_vec)
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dreamq, dreamc = codette_dream_agent(q_vec, c_vec)
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philosophy = philosophical_perspective(q_vec, c_vec)
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return (
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f"Neural Activation: {neural}\n",
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f"Dream Quantum: {dreamq[:3]}\nDream Chaos: {dreamc[:3]}\n",
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philosophy
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)
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except Exception as e:
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return ("Error", str(e), "")
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def codette_chatbot(input_text):
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# Placeholder response logic (can be replaced with actual Codette core integration)
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return f"Codette: I see you said '{input_text}'. Let's reflect together..."
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quantum_input = gr.Textbox(label="Quantum State (comma-separated)", placeholder="0.1,0.5,0.8")
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chaos_input = gr.Textbox(label="Chaos State (comma-separated)", placeholder="0.3,0.9,0.2")
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quantum_btn = gr.Button("Simulate")
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quantum_output = [
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gr.Textbox(label="Neural Class"),
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gr.Textbox(label="Dream Outcome"),
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gr.Textbox(label="Philosophy")
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]
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chatbox = gr.ChatInterface(fn=codette_chatbot, chatbot_name="Codette")
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with gr.Blocks() as demo:
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gr.Markdown("## 🧠 Codette Hybrid Space: Chat + Quantum Simulation")
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with gr.Tab("Quantum Simulator"):
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quantum_input.render()
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chaos_input.render()
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quantum_btn.render()
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for out in quantum_output:
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out.render()
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quantum_btn.click(simulate_quantum_chaos, inputs=[quantum_input, chaos_input], outputs=quantum_output)
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with gr.Tab("Codette Chat"):
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chatbox.render()
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if __name__ == "__main__":
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demo.launch()
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