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# 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
) |