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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 β 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() | |