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Update app.py
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app.py
CHANGED
@@ -4,13 +4,27 @@ from gradio_client import Client
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# Создаем клиент для взаимодействия с API
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client = Client("llamameta/Pixtral-Large-Instruct-2411")
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# Генерируем ответ от чат-бота
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message=message,
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system_message=system_message,
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max_tokens=max_tokens,
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@@ -18,30 +32,26 @@ def chatbot_response(message, chat_history, system_message, max_tokens, temperat
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top_p=top_p,
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api_name="/chat"
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)
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chat_history[-1] = (message, result)
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return chat_history, chat_history
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# Определяем интерфейс Gradio
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gr.
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gr.
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gr.
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gr.
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],
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title="Chatbot с использованием Pixtral-Large-Instruct",
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description="Простой чат-бот, использующий модель Pixtral-Large-Instruct для генерации ответов."
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)
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# Запускаем интерфейс
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# Создаем клиент для взаимодействия с API
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client = Client("llamameta/Pixtral-Large-Instruct-2411")
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def respond(
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message,
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history: list[tuple[str, str]],
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system_message,
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max_tokens,
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temperature,
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top_p,
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):
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# Формируем сообщения для отправки в API
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messages = [{"role": "system", "content": system_message}]
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for val in history:
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if val[0]:
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messages.append({"role": "user", "content": val[0]})
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if val[1]:
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messages.append({"role": "assistant", "content": val[1]})
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messages.append({"role": "user", "content": message})
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# Генерируем ответ от чат-бота
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response = client.predict(
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message=message,
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system_message=system_message,
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max_tokens=max_tokens,
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top_p=top_p,
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api_name="/chat"
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)
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yield response
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# Определяем интерфейс Gradio
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demo = gr.ChatInterface(
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respond,
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additional_inputs=[
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gr.Textbox(value="You are a friendly Chatbot created by balianone.com", label="System message"),
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gr.Slider(minimum=100, maximum=18000, value=18000, step=1, label="Max new tokens"),
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gr.Slider(minimum=0.0, maximum=1.0, value=0.7, step=0.1, label="Temperature"),
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gr.Slider(
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minimum=0.0,
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maximum=1.0,
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value=0.95,
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step=0.05,
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label="Top-p (nucleus sampling)",
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),
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],
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)
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# Запускаем интерфейс
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if __name__ == "__main__":
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demo.launch()
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