Update app.py

app.py

@@ -32,7 +32,7 @@ from transformers import T5ForConditionalGeneration, T5Tokenizer
 __FILES = set()
 wispher_models = list(whisper._MODELS.keys())
 
-def correct_grammar(input_text,num_return_sequences="1"):
+def correct_grammar(input_text,num_return_sequences=1):
     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)