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import gradio as gr | |
from transformers import AutoTokenizer, AutoModelForCausalLM, TextIteratorStreamer | |
import torch | |
import spaces | |
from threading import Thread | |
from typing import Iterator | |
model_id = "mistralai/Mistral-Nemo-Instruct-2407" | |
MAX_INPUT_TOKEN_LENGTH = 4096 | |
# Загрузка токенизатора и модели | |
tokenizer = AutoTokenizer.from_pretrained(model_id) | |
model = AutoModelForCausalLM.from_pretrained( | |
model_id, | |
device_map="auto", | |
load_in_8bit=True | |
) | |
def generate( | |
message: str, | |
chat_history: list[tuple[str, str]], | |
max_new_tokens: int = 1024, | |
temperature: float = 0.6, | |
top_p: float = 0.9 | |
) -> Iterator[str]: | |
conversation = [] | |
for user, assistant in chat_history: | |
conversation.extend([{"role": "user", "content": user}, {"role": "assistant", "content": assistant}]) | |
conversation.append({"role": "user", "content": message}) | |
input_ids = tokenizer.apply_chat_template(conversation, return_tensors="pt") | |
if input_ids.shape[1] > MAX_INPUT_TOKEN_LENGTH: | |
input_ids = input_ids[:, -MAX_INPUT_TOKEN_LENGTH:] | |
gr.Warning(f"Trimmed input from conversation as it was longer than {MAX_INPUT_TOKEN_LENGTH} tokens.") | |
input_ids = input_ids.to(model.device) | |
streamer = TextIteratorStreamer(tokenizer, timeout=10.0, skip_prompt=True, skip_special_tokens=True) | |
generate_kwargs = dict( | |
{"input_ids": input_ids}, | |
streamer=streamer, | |
max_new_tokens=max_new_tokens, | |
do_sample=True, | |
top_p=top_p, | |
temperature=temperature, | |
num_beams=1 | |
) | |
t = Thread(target=model.generate, kwargs=generate_kwargs) | |
t.start() | |
outputs = [] | |
for text in streamer: | |
outputs.append(text) | |
yield "".join(outputs) | |
# Настройка интерфейса Gradio | |
iface = gr.ChatInterface( | |
predict, | |
chatbot=gr.Chatbot(height=600), | |
textbox=gr.Textbox(placeholder="Введите ваше сообщение здесь...", container=False, scale=7), | |
title="Чат с Aeonium v1.1", | |
description="Это чат-интерфейс для модели Aeonium v1.1 Chat 4B. Задавайте вопросы и получайте ответы!", | |
theme="soft", | |
retry_btn="Повторить", | |
undo_btn="Отменить последнее", | |
clear_btn="Очистить", | |
additional_inputs=[ | |
gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Максимальное количество новых токенов"), | |
gr.Slider(minimum=0.1, maximum=2.0, value=0.7, step=0.1, label="Температура"), | |
gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)"), | |
], | |
) | |
# Запуск интерфейса | |
iface.launch() |