Update app.py

app.py

@@ -14,7 +14,7 @@ tokenizer = T5Tokenizer.from_pretrained('deep-learning-analytics/GrammarCorrecto
 model = T5ForConditionalGeneration.from_pretrained('deep-learning-analytics/GrammarCorrector').to(torch_device)
 
 def correct_grammar(input_text, num_correct_options=num_correct_options):
-  batch = tokenizer([input_text], truncation=True, padding = 'max length', max_length = 64, return_tensors = 'pt').to(torch_device)
+  batch = tokenizer([input_text], truncation=True, padding = 'max_length', max_length = 64, return_tensors = 'pt').to(torch_device)
   results = model.generate(**batch, max_length = 64, num_beams = 2, num_correct_options = num_correct_options, temperature = 1.5)
   
   return results