import gradio as gr from lunacode import smart_luna_answer def respond( message, history: list[tuple[str, str]], system_message, max_tokens, ): try: result = smart_luna_answer(message, max_tokens=max_tokens) 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"), ], 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()