"""
EduTutor AI - Main Application Entry Point
Simplified main file to avoid ClamAV issues
"""

import subprocess
import sys

def install_requirements():
    """Install required packages if not available"""
    required_packages = [
        'torch', 'transformers', 'huggingface-hub', 
        'gradio', 'sympy', 'numpy'
    ]
    
    for package in required_packages:
        try:
            __import__(package)
        except ImportError:
            print(f"Installing {package}...")
            subprocess.check_call([sys.executable, "-m", "pip", "install", package])

# Install requirements before importing
install_requirements()

# Import our modular components
from core.tutor_ai import EduTutorAI
from core.features import EducationalFeatures
from interface.gradio_app import create_gradio_interface
from utils.setup import setup_environment

def main():
    """Main function to run the EduTutor AI application"""
    print("🎓 Starting EduTutor AI Application...")
    
    # Setup environment
    setup_environment()
    
    # Initialize components
    ai_tutor = EduTutorAI()
    features = EducationalFeatures(ai_tutor)
    
    # Load model
    model_ready = ai_tutor.load_model()
    if not model_ready:
        print("⚠️ Warning: AI model failed to load. Using fallback responses.")
    
    # Create and launch interface
    print("🌐 Creating web interface...")
    gradio_app = create_gradio_interface(ai_tutor, features)
    
    print("🚀 Launching EduTutor AI on port 7860...")
    print("🌟 EduTutor AI is now ready!")
    print("💡 Features available:")
    print("   • 🤖 AI Chat Tutor")
    print("   • 📊 Advanced Homework Analyzer") 
    print("   • 📝 Interactive Quizzes")
    print("   • 📋 Study Plan Generator")
    print("   • 📈 Progress Tracking")
    
    gradio_app.launch(
        server_port=7860,
        server_name="0.0.0.0",
        share=True,
        show_error=True,
        quiet=False
    )

if __name__ == "__main__":
    main()