Update app.py
Browse files
app.py
CHANGED
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import
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from discord.ext import commands
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from transformers import AutoTokenizer, AutoModelForCausalLM
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import torch
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# Генерация ответа
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with torch.no_grad():
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outputs = model.generate(inputs, max_length=100, num_return_sequences=1)
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import streamlit as st
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from transformers import AutoTokenizer, AutoModelForCausalLM
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import torch
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import random
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@st.cache_resource
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def load_model():
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model_name = "sberbank-ai/rugpt3small_based_on_gpt2"
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model = AutoModelForCausalLM.from_pretrained(model_name)
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return tokenizer, model
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def generate_response(prompt, tokenizer, model):
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inputs = tokenizer.encode(prompt, return_tensors='pt')
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with torch.no_grad():
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outputs = model.generate(inputs, max_length=100, num_return_sequences=1,
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temperature=0.9, top_k=50, top_p=0.95)
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response = tokenizer.decode(outputs[0], skip_special_tokens=True)
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return add_mistakes(response)
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def add_mistakes(text):
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words = text.split()
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for i in range(len(words)):
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if random.random() < 0.2: # 20% шанс ошибки в слове
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words[i] = misspell_word(words[i])
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return ' '.join(words)
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def misspell_word(word):
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if len(word) < 3:
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return word
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vowels = 'аеёиоуыэюя'
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consonants = 'бвгджзйклмнпрстфхцчшщ'
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if random.random() < 0.5:
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# Заменяем случайную гласную
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for i, char in enumerate(word):
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if char.lower() in vowels:
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replacement = random.choice(vowels)
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return word[:i] + replacement + word[i+1:]
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else:
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# Заменяем случайную согласную
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for i, char in enumerate(word):
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if char.lower() in consonants:
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replacement = random.choice(consonants)
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return word[:i] + replacement + word[i+1:]
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return word
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st.title("AI Чат с простой русской моделью")
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tokenizer, model = load_model()
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if "messages" not in st.session_state:
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st.session_state.messages = []
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for message in st.session_state.messages:
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with st.chat_message(message["role"]):
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st.markdown(message["content"])
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if prompt := st.chat_input("Введите ваше сообщение"):
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st.session_state.messages.append({"role": "user", "content": prompt})
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with st.chat_message("user"):
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st.markdown(prompt)
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with st.chat_message("assistant"):
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response = generate_response(prompt, tokenizer, model)
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st.markdown(response)
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st.session_state.messages.append({"role": "assistant", "content": response})
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