run_app.py

#!/usr/bin/env python3
"""
Chainlit-compatible wrapper script for VT.ai application.
This script properly exposes the VT.ai callbacks to Chainlit.
"""

import os
import sys

# Add the project root to the Python path so imports work correctly
project_root = os.path.dirname(os.path.abspath(__file__))
if project_root not in sys.path:
    sys.path.insert(0, project_root)

# Set the current working directory to the project root
os.chdir(project_root)

# Import all the required callbacks from the main app
from vtai.app import build_chat_profile, on_message, start_chat


def main():
    """
    Main entry point for the VT.ai application.
    This function can be used to run the application programmatically.
    """
    print("Starting VT.ai application...")

    # Initialize the application
    try:
        # Import chainlit here to avoid issues when running as standalone
        import chainlit as cl

        # Expose the callbacks to Chainlit
        globals()["build_chat_profile"] = build_chat_profile
        globals()["start_chat"] = start_chat
        globals()["on_message"] = on_message

        print("VT.ai application initialized successfully!")
        print("Access the interface at: http://localhost:8000")

        # If this script is run directly, start the Chainlit server
        if __name__ == "__main__":
            # This will be handled by the chainlit command
            pass

    except ImportError as e:
        print(f"Error importing dependencies: {e}")
        print("Make sure you have installed the required dependencies:")
        print("pip install -e .")
        sys.exit(1)
    except Exception as e:
        print(f"Error initializing VT.ai application: {e}")
        sys.exit(1)


# Expose the callbacks to Chainlit
__all__ = ["build_chat_profile", "start_chat", "on_message"]

# Call main if this script is run directly
if __name__ == "__main__":
    main()