Update app.py
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app.py
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import
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#
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model_name = "mistralai/Mistral-7B-Instruct-v0.3"
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model = AutoModelForCausalLM.from_pretrained(model_name)
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# Функция для
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def
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with torch.no_grad():
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#
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from transformers import AutoTokenizer, AutoModelForCausalLM
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import torch
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# Укажите имя модели
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model_name = "mistralai/Mistral-7B-Instruct-v0.3"
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# Загружаем токенизатор и модель
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model = AutoModelForCausalLM.from_pretrained(model_name)
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# Функция для генерации пояснений по фьючерсам
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def generate_explanation(future_symbol):
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prompt = f"Объясните, как работает фьючерсный контракт на {future_symbol} и какие факторы влияют на его цену."
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# Токенизируем ввод
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inputs = tokenizer(prompt, return_tensors="pt")
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# Генерируем текст
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with torch.no_grad():
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outputs = model.generate(**inputs, max_length=200)
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# Декодируем результат
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explanation = tokenizer.decode(outputs[0], skip_special_tokens=True)
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return explanation
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# Пример использования
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future_symbols = [
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"BNBUSDT", "BTCUSDT", "ETHUSDT", "SOLUSDT",
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"DOGEUSDT", "ADAUSDT", "LTCUSDT", "ARKMUSDT",
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"ORDIUSDT", "AVAXUSDT", "TONUSDT", "MANAUSDT",
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"SUIUSDT", "NEIROUSDT", "EOSUSDT", "DOGSUSDT",
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"WLDUSDT", "TRXUSDT", "ZKUSDT", "EIGENUSDT"
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]
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for symbol in future_symbols:
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explanation = generate_explanation(symbol)
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print(f"Фьючерсный контракт на {symbol}:\n{explanation}\n")
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