import gradio as gr

RESPONSES = {
    "hello": "안녕하세요! 무엇을 도와드릴까요?",
    "가격": "가격 정보는 아직 준비 중이에요.",
}

def normalize_message(msg):
    if msg is None:
        return ""
    if isinstance(msg, dict) and "content" in msg:
        return str(msg["content"])
    if isinstance(msg, (list, tuple)):
        try:
            last = msg[-1]
            if isinstance(last, dict) and "content" in last:
                return str(last["content"])
        except Exception:
            pass
        return " ".join(map(str, msg))
    return str(msg)

def echo(message, history):
    text = normalize_message(message).strip()
    low = text.lower()
    for k, v in RESPONSES.items():
        if k.lower() in low:
            return v
    return f"(에코) {text}"

demo = gr.ChatInterface(
    fn=echo,
    type="messages",  # 메시지 포맷 맞추기
    chatbot=gr.Chatbot(type="messages", height=420, show_copy_button=True),
    autofocus=True,
)

if __name__ == "__main__":
    demo.launch(server_name="0.0.0.0", server_port=7860)