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ZOTHEOS-App
File size: 4,498 Bytes 
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import gradio as gr
import asyncio # Use asyncio for async operations like your real fusion logic will need

# --- 1. ZOTHEOS STYLING (CSS) ---
# All the styling for the Gradio app is placed right here. No separate files needed.
ZOTHEOS_CSS = """
/* Hide the default Gradio footer */
footer {
    display: none !important;
}

/* Main container styling for the dark, focused theme */
.gradio-container {
    background: radial-gradient(ellipse at bottom, #0a0a15 0%, #050510 70%, #000000 100%);
}

/* Custom header styling */
#zotheos_header {
    text-align: center;
    margin-bottom: 20px;
    border-bottom: 1px solid #333;
    padding-bottom: 20px;
}
#zotheos_header h1 {
    color: #f0f0f5;
    font-size: 2.5rem;
    font-weight: 700;
    margin: 0;
}
#zotheos_header p {
    color: #999;
    font-size: 1.1rem;
    margin-top: 5px;
}

/* Input/Output box styling */
.gradio-container .gr-input, .gradio-container .gr-output {
    border-color: #333 !important;
    background-color: #0f0f18 !important;
    color: #f0f0f5 !important;
}
.gradio-container .gr-label {
    color: #aaa !important;
}

/* Button styling */
.gradio-container .gr-button-primary {
    background: linear-gradient(90deg, #4a90e2, #5fdfff);
    color: white;
    font-weight: bold;
    border: none;
}
"""

# --- 2. THE CORE AI FUNCTION (Async Ready) ---
# This is where your fusion logic will go. It's set up to be async.
async def run_zotheos_fusion(question):
    """
    This function takes a user's question, runs it through your fused models,
    and returns the three distinct perspectives.
    """
    
    # --- YOUR FUSION LOGIC GOES HERE ---
    #
    # Replace this placeholder logic with your actual call:
    # result = await ai_system.process_query_with_fusion(...)
    # mistral_output = result['mistral']
    # gemma_output = result['gemma']
    # qwen_output = result['qwen']
    
    print(f"Received question: {question}") # For debugging in Hugging Face logs
    
    # Placeholder logic that simulates async model processing:
    await asyncio.sleep(2) # Simulate async delay
    mistral_output = f"**Pragmatic Perspective (Mistral):** Based on the data points surrounding '{question}', the most logical path forward is..."
    gemma_output = f"**Ethical & Human-Centric Perspective (Gemma):** Considering the human impact of '{question}', it's vital to prioritize compassion and fairness..."
    qwen_output = f"**Creative & Alternative Perspective (Qwen):** What if we reframe '{question}' entirely? An unconventional approach might be..."

    return mistral_output, gemma_output, qwen_output
    # --- END OF YOUR FUSION LOGIC SECTION ---


# --- 3. GRADIO USER INTERFACE (UI) ---
# We use a base theme and apply our custom CSS on top of it.
with gr.Blocks(theme=gr.themes.Base(), css=ZOTHEOS_CSS, title="ZOTHEOS") as demo:
    
    # Custom Header
    with gr.Row():
        gr.HTML("""
        <div id="zotheos_header">
            <h1>ZOTHEOS</h1>
            <p>The Ethical Fusion AI for Multi-Perspective Understanding</p>
        </div>
        """)
    
    # Main Input/Output Layout
    with gr.Row():
        with gr.Column(scale=3):
            question_input = gr.Textbox(
                label="Your Inquiry", 
                placeholder="e.g., What is the future of decentralized education?",
                lines=4
            )
            submit_button = gr.Button("Synthesize Perspectives", variant="primary")
    
    gr.Markdown("---")
    
    with gr.Row():
        # Using Markdown for better text formatting (like bolding the titles)
        output_mistral = gr.Markdown(label="Perspective 1: The Pragmatist (Mistral)")
        output_gemma = gr.Markdown(label="Perspective 2: The Ethicist (Gemma)")
        output_qwen = gr.Markdown(label="Perspective 3: The Innovator (Qwen)")
        
    # --- 4. CONNECTING THE UI TO THE FUNCTION ---
    submit_button.click(
        fn=run_zotheos_fusion,
        inputs=question_input,
        outputs=[output_mistral, output_gemma, output_qwen],
        show_progress="dots" # Shows a loading animation
    )
    
    gr.Examples(
        examples=[
            "What are the ethical implications of AI in hiring?",
            "How can technology bridge the gap between rural and urban healthcare?",
            "Explain the concept of 'truth' from a philosophical and a scientific standpoint."
        ],
        inputs=question_input
    )

# --- 5. LAUNCH THE APP ---
if __name__ == "__main__":
    demo.queue().launch()