Update app.py
Browse files
app.py
CHANGED
|
@@ -1,34 +1,68 @@
|
|
| 1 |
-
import
|
| 2 |
-
from discord.ext import commands
|
| 3 |
from transformers import AutoTokenizer, AutoModelForCausalLM
|
| 4 |
import torch
|
|
|
|
| 5 |
|
| 6 |
-
|
| 7 |
-
|
| 8 |
-
|
| 9 |
-
|
|
|
|
|
|
|
| 10 |
|
| 11 |
-
|
| 12 |
-
|
| 13 |
-
|
| 14 |
-
|
|
|
|
|
|
|
|
|
|
| 15 |
|
| 16 |
-
|
| 17 |
-
|
| 18 |
-
|
|
|
|
|
|
|
|
|
|
| 19 |
|
| 20 |
-
|
| 21 |
-
|
| 22 |
-
|
| 23 |
-
|
| 24 |
-
|
| 25 |
-
# Генерация ответа
|
| 26 |
-
with torch.no_grad():
|
| 27 |
-
outputs = model.generate(inputs, max_length=100, num_return_sequences=1)
|
| 28 |
|
| 29 |
-
|
| 30 |
-
|
| 31 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 32 |
|
| 33 |
-
|
| 34 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import streamlit as st
|
|
|
|
| 2 |
from transformers import AutoTokenizer, AutoModelForCausalLM
|
| 3 |
import torch
|
| 4 |
+
import random
|
| 5 |
|
| 6 |
+
@st.cache_resource
|
| 7 |
+
def load_model():
|
| 8 |
+
model_name = "sberbank-ai/rugpt3small_based_on_gpt2"
|
| 9 |
+
tokenizer = AutoTokenizer.from_pretrained(model_name)
|
| 10 |
+
model = AutoModelForCausalLM.from_pretrained(model_name)
|
| 11 |
+
return tokenizer, model
|
| 12 |
|
| 13 |
+
def generate_response(prompt, tokenizer, model):
|
| 14 |
+
inputs = tokenizer.encode(prompt, return_tensors='pt')
|
| 15 |
+
with torch.no_grad():
|
| 16 |
+
outputs = model.generate(inputs, max_length=100, num_return_sequences=1,
|
| 17 |
+
temperature=0.9, top_k=50, top_p=0.95)
|
| 18 |
+
response = tokenizer.decode(outputs[0], skip_special_tokens=True)
|
| 19 |
+
return add_mistakes(response)
|
| 20 |
|
| 21 |
+
def add_mistakes(text):
|
| 22 |
+
words = text.split()
|
| 23 |
+
for i in range(len(words)):
|
| 24 |
+
if random.random() < 0.2: # 20% шанс ошибки в слове
|
| 25 |
+
words[i] = misspell_word(words[i])
|
| 26 |
+
return ' '.join(words)
|
| 27 |
|
| 28 |
+
def misspell_word(word):
|
| 29 |
+
if len(word) < 3:
|
| 30 |
+
return word
|
| 31 |
+
vowels = 'аеёиоуыэюя'
|
| 32 |
+
consonants = 'бвгджзйклмнпрстфхцчшщ'
|
|
|
|
|
|
|
|
|
|
| 33 |
|
| 34 |
+
if random.random() < 0.5:
|
| 35 |
+
# Заменяем случайную гласную
|
| 36 |
+
for i, char in enumerate(word):
|
| 37 |
+
if char.lower() in vowels:
|
| 38 |
+
replacement = random.choice(vowels)
|
| 39 |
+
return word[:i] + replacement + word[i+1:]
|
| 40 |
+
else:
|
| 41 |
+
# Заменяем случайную согласную
|
| 42 |
+
for i, char in enumerate(word):
|
| 43 |
+
if char.lower() in consonants:
|
| 44 |
+
replacement = random.choice(consonants)
|
| 45 |
+
return word[:i] + replacement + word[i+1:]
|
| 46 |
+
return word
|
| 47 |
+
|
| 48 |
+
st.title("AI Чат с простой русской моделью")
|
| 49 |
|
| 50 |
+
tokenizer, model = load_model()
|
| 51 |
+
|
| 52 |
+
if "messages" not in st.session_state:
|
| 53 |
+
st.session_state.messages = []
|
| 54 |
+
|
| 55 |
+
for message in st.session_state.messages:
|
| 56 |
+
with st.chat_message(message["role"]):
|
| 57 |
+
st.markdown(message["content"])
|
| 58 |
+
|
| 59 |
+
if prompt := st.chat_input("Введите ваше сообщение"):
|
| 60 |
+
st.session_state.messages.append({"role": "user", "content": prompt})
|
| 61 |
+
with st.chat_message("user"):
|
| 62 |
+
st.markdown(prompt)
|
| 63 |
+
|
| 64 |
+
with st.chat_message("assistant"):
|
| 65 |
+
response = generate_response(prompt, tokenizer, model)
|
| 66 |
+
st.markdown(response)
|
| 67 |
+
|
| 68 |
+
st.session_state.messages.append({"role": "assistant", "content": response})
|