Update app.py

app.py

@@ -14,8 +14,8 @@ import torch
 from transformers import GPT2Tokenizer, GPT2LMHeadModel
 
 # Загрузка модели и токенизатора
-tokenizer = GPT2Tokenizer.from_pretrained("ERmak1581/rugpt3large_for_qna_250k1")
-model = GPT2LMHeadModel.from_pretrained("ERmak1581/rugpt3large_for_qna_250k1")
+tokenizer = GPT2Tokenizer.from_pretrained("ERmak1581/rugpt3large_for_qna_400k")
+model = GPT2LMHeadModel.from_pretrained("ERmak1581/rugpt3large_for_qna_400k")
 
 # Функция для генерации текста на основе входной строки
 def gen(request, temperature, maxnewtokens):
@@ -49,5 +49,5 @@ inputs = [
 ]
 output = gr.Textbox(label="Output Text")
 
-interface = gr.Interface(gen, inputs, output, title="GPT-2 Text Generation", theme="compact", description="Демонстрация <a href=https://huggingface.co/ERmak1581/rugpt3large_for_qna_250k1>модели</a> для задачи Question-Answer")
+interface = gr.Interface(gen, inputs, output, title="GPT-2 Text Generation", theme="compact", description="Демонстрация <a href=https://huggingface.co/ERmak1581/rugpt3large_for_qna_400k>модели</a> для задачи Question-Answer")
 interface.launch(share=True)