# 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 )