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import gradio as gr
from src.models.text_classification import TextClassificationModel
import logging

# Configure logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

def create_demo():
    try:
        # Initialize the model
        logger.info("Initializing Text Classification model...")
        model = TextClassificationModel()
        
        # Create the interface
        logger.info("Creating Gradio interface...")
        demo = model.create_interface()
        
        logger.info("Gradio interface created successfully")
        return demo
        
    except Exception as e:
        logger.error(f"Error creating demo: {str(e)}")
        raise

if __name__ == "__main__":
    try:
        logger.info("Starting the application...")
        demo = create_demo()
        logger.info("Launching the interface...")
        demo.launch(
            server_name="0.0.0.0",  # Allow external connections
            server_port=7860,       # Specify port explicitly
            share=True             # Enable public URL
        )
        logger.info("Interface launched successfully")
    except Exception as e:
        logger.error(f"Application error: {str(e)}")
        raise