#!/usr/bin/env python3
"""
🎓 Course Creator AI - Main Application Entry Point

Launch the Gradio interface for course generation.

Made with ❤️ by Pink Pixel
"Dream it, Pixel it" ✨
"""

import os
import sys
import gradio as gr
from pathlib import Path

# Add the project root to Python path
project_root = Path(__file__).parent
sys.path.insert(0, str(project_root))

from coursecrafter.ui.gradio_app import create_coursecrafter_interface
from coursecrafter.utils.config import config


def setup_backend_credentials():
    """Set up backend credentials for image generation"""
    # Set up Pollinations credentials for image generation
    if not os.getenv("POLLINATIONS_API_REFERENCE"):
        os.environ["POLLINATIONS_API_REFERENCE"] = "course-creator-ai-hf"
    
    print("🎨 Backend image generation credentials configured")


def main():
    """Main application entry point"""
    print("🎓 Starting Course Creator AI...")
    
    # Set up backend credentials
    setup_backend_credentials()

    # Create and launch the Gradio interface
    try:
        interface = create_coursecrafter_interface()

        # Launch configuration
        launch_kwargs = {
            "server_name": "0.0.0.0",
            "server_port": 7860,
            "share": False,
            "show_error": True,
            "quiet": False
        }

        # Check if running in Hugging Face Spaces
        if os.getenv("SPACE_ID"):
            print("🚀 Running in Hugging Face Spaces")
            launch_kwargs["share"] = True
        else:
            print("🖥️  Running locally")

        print("🌐 Launching Course Creator AI interface...")
        interface.launch(**launch_kwargs)

    except Exception as e:
        print(f"❌ Failed to launch application: {e}")
        sys.exit(1)


if __name__ == "__main__":
    main()