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import os |
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import gradio as gr |
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from openai import OpenAI |
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SYSTEM_PROMPT = "Ты — Сайга, русскоязычный автоматический ассистент. Ты разговариваешь с людьми и помогаешь им." |
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BASE_URL = os.getenv("BASE_URL") |
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API_KEY = os.getenv("API_KEY") |
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MODEL_NAME = "IlyaGusev/saiga_nemo_12b_gptq_8bit" |
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CLIENT = OpenAI(base_url=BASE_URL, api_key=API_KEY) |
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def user(message, history): |
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new_history = history + [[message, None]] |
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return "", new_history |
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def bot( |
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history, |
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system_prompt, |
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top_p, |
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temp |
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): |
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messages = [{"role": "system", "content": SYSTEM_PROMPT}] |
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for user_message, bot_message in history[:-1]: |
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messages.append({"role": "user", "content": user_message}) |
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if bot_message: |
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messages.append({"role": "assistant", "content": bot_message}) |
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last_user_message = history[-1][0] |
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messages.append({"role": "user", "content": last_user_message}) |
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response = CLIENT.chat.completions.create( |
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model=MODEL_NAME, |
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messages=messages, |
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temperature=temp, |
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top_p=top_p, |
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stream=True, |
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) |
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partial_text = "" |
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for chunk in response: |
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content = chunk.choices[0].delta.content |
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partial_text += content |
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history[-1][1] = partial_text |
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yield history |
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with gr.Blocks( |
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theme=gr.themes.Soft() |
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) as demo: |
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favicon = '<img src="https://cdn.midjourney.com/b88e5beb-6324-4820-8504-a1a37a9ba36d/0_1.png" width="48px" style="display: inline">' |
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gr.Markdown( |
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f"""<h1><center>{favicon}Saiga Nemo 12B GPTQ 8 bit</center></h1> |
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This is a demo of a **Russian**-speaking Mistral Nemo based model. |
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Это демонстрационная версия [Сайги Немо с 12 миллиардами параметров](https://huggingface.co/IlyaGusev/saiga_nemo_12b). |
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""" |
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) |
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with gr.Row(): |
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with gr.Column(scale=5): |
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system_prompt = gr.Textbox(label="Системный промпт", placeholder="", value=SYSTEM_PROMPT, interactive=False) |
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chatbot = gr.Chatbot(label="Диалог") |
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with gr.Column(min_width=80, scale=1): |
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with gr.Tab(label="Параметры генерации"): |
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top_p = gr.Slider( |
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minimum=0.0, |
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maximum=1.0, |
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value=0.9, |
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step=0.05, |
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interactive=True, |
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label="Top-p", |
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) |
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temp = gr.Slider( |
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minimum=0.0, |
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maximum=2.0, |
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value=0.01, |
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step=0.01, |
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interactive=True, |
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label="Температура" |
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) |
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with gr.Row(): |
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with gr.Column(): |
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msg = gr.Textbox( |
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label="Отправить сообщение", |
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placeholder="Отправить сообщение", |
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show_label=False, |
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) |
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with gr.Column(): |
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with gr.Row(): |
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submit = gr.Button("Отправить") |
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stop = gr.Button("Остановить") |
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clear = gr.Button("Очистить") |
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with gr.Row(): |
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gr.Markdown( |
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"""ПРЕДУПРЕЖДЕНИЕ: Модель может генерировать фактически или этически некорректные тексты. Мы не несём за это ответственность.""" |
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) |
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submit_event = msg.submit( |
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fn=user, |
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inputs=[msg, chatbot], |
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outputs=[msg, chatbot], |
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queue=False, |
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).success( |
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fn=bot, |
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inputs=[ |
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chatbot, |
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system_prompt, |
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top_p, |
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temp |
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], |
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outputs=chatbot, |
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queue=True, |
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) |
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submit_click_event = submit.click( |
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fn=user, |
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inputs=[msg, chatbot], |
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outputs=[msg, chatbot], |
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queue=False, |
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).success( |
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fn=bot, |
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inputs=[ |
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chatbot, |
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system_prompt, |
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top_p, |
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temp |
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], |
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outputs=chatbot, |
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queue=True, |
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) |
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stop.click( |
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fn=None, |
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inputs=None, |
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outputs=None, |
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cancels=[submit_event, submit_click_event], |
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queue=False, |
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) |
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clear.click(lambda: None, None, chatbot, queue=False) |
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demo.queue(max_size=128) |
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demo.launch(show_error=True) |
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