app.py

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

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

def process_input(text: str, image: str = None, audio: str = None):
    input_data = {
        'text': text,
        'image': image,
        'audio': audio,
        'context': {}
    }
    
    result = model.forward(input_data)
    return format_output(result)

model = initialize_model()

interface = gr.Interface(
    fn=process_input,
    inputs=[
        gr.Textbox(label="Text Input"),
        gr.Image(label="Image Input", optional=True),
        gr.Audio(label="Audio Input", optional=True)
    ],
    outputs=[
        gr.Textbox(label="HIM Response"),
        gr.Plot(label="Consciousness State Visualization")
    ],
    title="Hybrid Intelligence Matrix (HIM)",
    description="Interact with the HIM system for advanced cognitive processing"
)