Update app.py

app.py

@@ -1,12 +1,11 @@
 import gradio as gr
 from transformers import T5Tokenizer, T5ForConditionalGeneration
 
-# Используем дообученную модель
+# Дообученная модель для генерации вопросов
 model_name = "iarfmoose/t5-base-question-generator"
 tokenizer = T5Tokenizer.from_pretrained(model_name)
 model = T5ForConditionalGeneration.from_pretrained(model_name)
 
-# Генерация вопроса только по контексту
 def generate_question(context):
     prompt = f"generate question: {context}"
     input_ids = tokenizer(prompt, return_tensors="pt", truncation=True, max_length=512).input_ids
@@ -14,7 +13,6 @@ def generate_question(context):
     question = tokenizer.decode(output_ids[0], skip_special_tokens=True)
     return question
 
-# Интерфейс
 demo = gr.Interface(
     fn=generate_question,
     inputs=gr.Textbox(label="Context", placeholder="Enter paragraph...", lines=5),