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Update app.py
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app.py
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import os
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import gradio as gr
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import torch
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from transformers import AutoModelForCausalLM, AutoTokenizer
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# Пути и настройки
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model_repo = "cody82/innopolis_bot_model"
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cache_dir = "/data/model"
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if not os.path.exists(cache_dir):
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os.makedirs(cache_dir)
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# Загружаем токенизатор и модель из локального кеша / Persistent Storage
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tokenizer = AutoTokenizer.from_pretrained(model_repo, cache_dir=cache_dir)
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model = AutoModelForCausalLM.from_pretrained(model_repo, cache_dir=cache_dir)
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model.to("cpu")
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# Функция обработки сообщений
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def respond(message, history):
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history = history or []
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#
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full_input = ""
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for turn in history:
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if turn["role"] == "user":
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@@ -36,28 +29,24 @@ def respond(message, history):
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do_sample=True,
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temperature=0.7,
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top_p=0.95,
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pad_token_id=tokenizer.eos_token_id
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)
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output_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
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response = output_text.split("Assistant:")[-1].strip()
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#
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history.append({"role": "user", "content": message})
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history.append({"role": "assistant", "content": response})
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return history
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gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
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gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
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gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)"),
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],
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)
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if __name__ == "__main__":
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import os
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import torch
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from transformers import AutoModelForCausalLM, AutoTokenizer
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import gradio as gr
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model_repo = "cody82/innopolis_bot_model"
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cache_dir = "/data/model"
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tokenizer = AutoTokenizer.from_pretrained(model_repo, cache_dir=cache_dir)
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model = AutoModelForCausalLM.from_pretrained(model_repo, cache_dir=cache_dir)
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model.to("cpu")
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def respond(message, history):
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history = history or []
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# Формируем текст
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full_input = ""
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for turn in history:
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if turn["role"] == "user":
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do_sample=True,
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temperature=0.7,
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top_p=0.95,
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pad_token_id=tokenizer.eos_token_id,
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)
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output_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
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response = output_text.split("Assistant:")[-1].strip()
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# Обновлённая история
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history.append({"role": "user", "content": message})
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history.append({"role": "assistant", "content": response})
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return history
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chat = gr.ChatInterface(
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fn=respond,
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chatbot=gr.Chatbot(label="Innopolis Bot", type="messages"),
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title="Innopolis Chatbot",
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theme="soft",
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examples=["Когда был основан университет Иннополис?", "Какие программы есть в магистратуре?"],
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)
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if __name__ == "__main__":
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chat.launch(share=True)
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