Update main.py

main.py

@@ -11,8 +11,8 @@ model = AutoModelForSeq2SeqLM.from_pretrained(model_dir)
 def mask_generation(text):
     import re
     inputs = ["Mask Generation: " + text]
-    inputs = tokenizer(inputs,max_length=128, truncation=True, return_tensors="pt")
-    output = model.generate(**inputs, num_beams=8, do_sample=True,min_length=len(text), max_length=len(text)+1)
+    inputs = tokenizer(inputs, max_length=128, truncation=True, return_tensors="pt")
+    output = model.generate(**inputs, num_beams=8, do_sample=True, max_length=len(text))
     decoded_output = tokenizer.batch_decode(output, skip_special_tokens=True)[0]
     predicted_title = decoded_output.strip()
     pattern = r'\[.*?\]'