Update app.py

app.py

@@ -10,8 +10,9 @@ model_name = "vennify/t5-base-grammar-correction"
 model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 
-def correct_text(text, max_length, max_new_tokens=0, min_length, num_beams, temperature, top_p):
+def correct_text(text, max_length, max_new_tokens, min_length, num_beams, temperature, top_p):
     inputs = tokenizer.encode(text, return_tensors="pt")
+    
     if max_new_tokens > 0:
         outputs = model.generate(
             inputs,