import warnings
import logging
import gradio as gr
from twin.bootstrap import bootstrap

warnings.filterwarnings("ignore", message=".*HTTP_422_UNPROCESSABLE_ENTITY.*")
logging.basicConfig(level=logging.WARNING)
logger = logging.getLogger(__name__)
logger.setLevel(logging.DEBUG)


agent, avatar_image = bootstrap()


def ai_response(message: str, history: list[dict]) -> str:
    output = agent.generate_chat_response(message, history)
    logger.debug(f"\n{'=' * 50}")
    logger.debug(f"***Output: {output}")
    return output


if __name__ == "__main__":
    ui = gr.ChatInterface(
        fn=ai_response,
        title="Jeff's Digital Twin",
        description=(
            "Welcome to my Digital Twin—an interactive AI agent powered by RAG and "
            "dynamic tool-calling. Ask about my experience, recent projects, or technical skills. "
            "This is a beta version, so feel free to test its limits! If you have suggestions or "
            "want to get in touch, just ask my twin to send me a real-time push notification."
        ),
        chatbot=gr.Chatbot(avatar_images=(None, avatar_image), height=800),
        examples=[
            "What did you learn in the AI Engineering Workshop by SuperDataScience?",
            "What are your interests?",
            "Do you have any favorite movies?",
        ],
    )
    ui.launch(inbrowser=True, share=False)