Update app.py

app.py

@@ -5,16 +5,6 @@ from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
 
 model_repo_path = 'nxmwxm/correct_answer'
 
-# Load the tokenizer
-tokenizer = AutoTokenizer.from_pretrained(model_repo_path)
-
-# Define special tokens
-special_tokens_dict = {'additional_special_tokens': ['<extra_id_99>']}
-num_added_toks = tokenizer.add_special_tokens(special_tokens_dict)
-
-# Load the model and resize token embeddings
-model = AutoModelForSeq2SeqLM.from_pretrained(model_repo_path)
-model.resize_token_embeddings(len(tokenizer))
 
 
 # Load the pipeline with your model and tokenizer