app.py

import os
import torch
import logging
from interface.app import WellnessInterface
from config.config import load_config
from utils.log_manager import LogManager

def setup_environment():
    """Setup environment variables and device configuration"""
    # Force CPU usage and disable GPU
    os.environ["CUDA_VISIBLE_DEVICES"] = "-1"
    os.environ["TRANSFORMERS_OFFLINE"] = "1"
    os.environ["TORCH_DEVICE"] = "cpu"
    
    # Disable CUDA initialization
    torch.cuda.is_available = lambda: False
    
    # Set PyTorch to use CPU
    if hasattr(torch, 'set_default_tensor_type'):
        torch.set_default_tensor_type('torch.FloatTensor')
    
    return "cpu"

def main():
    # Initialize logging
    log_manager = LogManager()
    logger = log_manager.get_agent_logger("main")
    logger.info("Starting Mental Wellness Platform")
    
    try:
        # Setup environment before anything else
        device = setup_environment()
        logger.info(f"Using device: {device}")
        
        # Disable GPU memory allocation
        torch.cuda.empty_cache()
        
        # Load configuration
        config = load_config()
        logger.info("Configuration loaded successfully")
        
        # Initialize interface
        interface = WellnessInterface(config)
        logger.info("Interface initialized")
        
        # Launch the application
        interface.launch(
            server_name="0.0.0.0",
            server_port=7860,
            show_error=True,  # Show detailed error messages
            root_path="",  # Empty root path for Spaces
            quiet=True  # Reduce logging noise
        )
        
    except Exception as e:
        logger.error(f"Error starting application: {str(e)}")
        raise

if __name__ == "__main__":
    main()