app.py

# app.py
import gradio as gr
from g4f.client import Client

client = Client()

# --- Обработчик диалога ---
def respond(message, history):
    # Добавляем системное сообщение только при старте истории
    messages = [{"role": "system", "content": ""}]
    
    for human, assistant in history:
        messages.append({"role": "user", "content": human})
        messages.append({"role": "assistant", "content": assistant})
    
    messages.append({"role": "user", "content": message})

    try:
        response = client.chat.completions.create(
            model="gpt-4",
            messages=messages
        )
        bot_message = response.choices[0].message.content
    except Exception as e:
        bot_message = f"Ошибка: {str(e)}"

    # Возвращаем обновлённую историю + новый ответ
    return history + [[message, bot_message]]

# --- Интерфейс ---
with gr.Blocks(title="ESP Brain") as demo:
    gr.Markdown("## For api")

    chatbot = gr.Chatbot(
        height=600,
    )

    with gr.Row():
        txt = gr.Textbox(
            placeholder="Напиши сообщение...",
            show_label=False,
            scale=8
        )
        submit_btn = gr.Button("Отправить", scale=2)

    with gr.Row():
        retry_btn = gr.Button("🔄 Повторить")
        undo_btn = gr.Button("↩️ Отменить")
        clear_btn = gr.Button("🗑️ Очистить")

    # Логика
    txt.submit(fn=respond, inputs=[txt, chatbot], outputs=chatbot)
    submit_btn.click(fn=respond, inputs=[txt, chatbot], outputs=chatbot)

    def retry_last(history):
        if history:
            last_user_msg = history[-1][0]
            return history[:-1] + [[last_user_msg, None]]  # очищаем ответ
        return history

    retry_btn.click(fn=retry_last, inputs=chatbot, outputs=chatbot, queue=False)

    def undo_last(history):
        return history[:-1]

    undo_btn.click(fn=undo_last, inputs=chatbot, outputs=chatbot, queue=False)

    clear_btn.click(lambda: [], outputs=chatbot, queue=False)

# --- Запуск ---
if __name__ == "__main__":
    demo.queue()
    demo.launch(
        share=True,
        ssr_mode=False,
        debug=True
    )