app.py

import gradio as gr
from src.model.him_model import HIMModel
from src.core.config import HIMConfig

def initialize_model():
    config = HIMConfig()
    return HIMModel(config)

def process_input(text: str, context: str = "", consciousness_level: float = 0.8):
    input_data = {
        "text": text,
        "context": context,
        "consciousness_parameters": {
            "level": consciousness_level
        }
    }
    
    result = model.process(input_data)
    return {
        "response": result["response"],
        "consciousness_state": result["consciousness_metrics"],
        "emotional_state": result["emotional_state"]
    }

model = initialize_model()

interface = gr.Interface(
    fn=process_input,
    inputs=[
        gr.Textbox(label="Input Text"),
        gr.Textbox(label="Context (optional)"),
        gr.Slider(minimum=0.0, maximum=1.0, value=0.8, label="Consciousness Level")
    ],
    outputs=[
        gr.Textbox(label="HIM Response"),
        gr.JSON(label="Consciousness State"),
        gr.JSON(label="Emotional State")
    ],
    title="Hybrid Intelligence Matrix (HIM)",
    description="Interact with HIM - A Hybrid Intelligence System"
)

if __name__ == "__main__":
    interface.launch()