import gradio as gr
from lunacode import smart_luna_answer

def respond(
    message,
    history: list[tuple[str, str]],
    system_message,
    max_tokens,
    temperature,
    top_p,
):
    # We won't stream but return full output for simplicity
    try:
        result = smart_luna_answer(message, max_tokens=max_tokens, temperature=temperature, top_p=top_p)
        return result
    except Exception as e:
        return f"Error: {str(e)}"

demo = gr.ChatInterface(
    fn=respond,
    additional_inputs=[
        gr.Textbox(value="You are a helpful AI assistant.", label="System message"),
        gr.Slider(minimum=128, maximum=2048, value=512, step=1, label="Max new tokens"),
        gr.Slider(minimum=0.1, maximum=1.5, value=0.7, step=0.1, label="Temperature"),
        gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p"),
    ],
    title="Luna AI — Code & Web Enhanced Assistant",
    description="Ask Luna questions, generate code, and explore smart AI-powered answers with web context!",
    theme="default"
)

if __name__ == "__main__":
    demo.launch()