Update app.py

app.py

@@ -9,7 +9,7 @@ num_correct_options = st.number_input('Number of Correction Options', min_value=
 
 from transformers import T5ForConditionalGeneration, T5Tokenizer
 import torch
-torch_device = 'cuda' if torch.cude.is_available() else 'cpu'
+torch_device = 'cuda' if torch.cuda.is_available() else 'cpu'
 tokenizer = T5Tokenizer.from_pretrained('deep-learning-analytics/GrammarCorrector')
 model = T5ForConditionalGeneration.from_pretrained('deep-learning-analytics/GrammarCorrector').to(torch_device)