#!/usr/bin/env python3
"""
Brain AI - Simplified Demo for Hugging Face Spaces
A minimal demo showcasing Brain AI's multi-agent capabilities
"""

import gradio as gr
import random
import time
from datetime import datetime

def simulate_agent_response(query: str) -> str:
    """Simulate Brain AI agent response"""
    if not query.strip():
        return "⚠️ Please provide a query for analysis."
    
    # Simulate processing time
    time.sleep(1)
    
    responses = [
        f"Brain AI Academic Agent analyzing: '{query[:30]}...'",
        f"Research indicates significant patterns in: {query[:20]}...",
        f"Cognitive analysis reveals: {query[:25]}... requires multi-faceted approach",
        f"Domain expertise suggests: {query[:30]}... has multiple considerations"
    ]
    
    return f"""
# 🧠 Brain AI Response

**Query:** {query}

**Analysis:** {random.choice(responses)}

**Key Insights:**
• Multi-agent collaboration provides comprehensive perspective
• Domain expertise ensures specialized knowledge application
• Real-time processing enables dynamic response generation

**Agent Capabilities Demonstrated:**
• Natural language understanding
• Context-aware reasoning
• Specialized domain knowledge
• Multi-perspective analysis

*Response generated at {datetime.now().strftime('%H:%M:%S')} by Brain AI Demo*
"""

# Create Gradio interface
with gr.Blocks(title="Brain AI Demo", theme=gr.themes.Soft()) as demo:
    gr.Markdown("""
    # 🧠 Brain AI - Advanced Multi-Agent AI System
    
    **Interactive Demo** - Experience Brain AI's sophisticated reasoning capabilities
    
    This demonstration showcases our multi-agent architecture designed for complex analysis and problem-solving.
    """)
    
    with gr.Row():
        with gr.Column():
            query_input = gr.Textbox(
                label="Enter your query",
                placeholder="Ask anything - research questions, analysis requests, technical problems...",
                lines=3
            )
            analyze_btn = gr.Button("🚀 Analyze with Brain AI", variant="primary")
        
        with gr.Column():
            gr.Markdown("""
            **Example Queries:**
            - "Analyze AI research trends"
            - "Evaluate machine learning approaches"
            - "Research sustainable technologies"
            - "Assess cybersecurity strategies"
            """)
    
    analysis_output = gr.Markdown(label="Brain AI Analysis")
    
    analyze_btn.click(
        fn=simulate_agent_response,
        inputs=query_input,
        outputs=analysis_output
    )
    
    gr.Markdown("""
    ---
    **Brain AI** - Advanced Multi-Agent AI System | Built for the AI community
    """)

if __name__ == "__main__":
    demo.launch(server_name="0.0.0.0", server_port=7860)