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Update app.py
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app.py
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iface.launch()
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from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
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import torch
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import gradio as gr
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# Загружаем токенизатор и модель
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype=torch.float16, device_map="auto")
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# Функция генерации диалогового ответа
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def generate_zephyr_response(prompt):
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messages = [
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{"role": "system", "content": "Ты — дружелюбный и умный ассистент."},
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{"role": "user", "content": prompt}
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]
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prompt_text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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inputs = tokenizer(prompt_text, return_tensors="pt").to(model.device)
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with torch.no_grad():
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# Интерфейс Gradio
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iface = gr.Interface(
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fn=
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inputs=gr.Textbox(label="Введите ваш запрос"),
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outputs=gr.Textbox(label="Ответ от ChatGPT"),
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title="Интерфейс ChatGPT",
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from transformers import AutoTokenizer, AutoModelWithLMHead
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import torch
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import gradio as gr
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# Загружаем токенизатор и модель
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tokenizer = AutoTokenizer.from_pretrained("sberbank-ai/rugpt3large_based_on_gpt2")
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model = AutoModelWithLMHead.from_pretrained("sberbank-ai/rugpt3large_based_on_gpt2")
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# Основная функция генерации
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def generate_russian_response(prompt):
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input_ids = tokenizer.encode(prompt, return_tensors="pt")
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with torch.no_grad():
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output = model.generate(
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input_ids,
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max_length=200,
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do_sample=True,
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top_k=50,
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top_p=0.95,
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temperature=0.9,
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num_return_sequences=1,
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pad_token_id=tokenizer.eos_token_id
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)
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response = tokenizer.decode(output[0], skip_special_tokens=True)
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return response
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# Интерфейс Gradio
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iface = gr.Interface(
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fn=generate_russian_response,
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inputs=gr.Textbox(label="Введите ваш запрос"),
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outputs=gr.Textbox(label="Ответ от ChatGPT"),
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title="Интерфейс ChatGPT",
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