Attention mask shi

models/gpt2.py

@@ -1,6 +1,5 @@
 from transformers import GPT2Tokenizer, TFGPT2LMHeadModel
-
-# https://www.youtube.com/watch?v=irjYqV6EebU
+import tensorflow as tf
 
 model_name = "gpt2"
 
@@ -13,7 +12,8 @@ def load():
 
 def generate(input_text):
   # Tokenize the input text
-  input_ids = tokenizer.encode(input_text, return_tensors="pt")
+  input_ids = tokenizer.encode(input_text, return_tensors="pt", truncation=True, padding=True)
+  attention_mask = tf.ones_like(input_ids)
   
   # Generate output using the model
   output_ids = model.generate(input_ids, num_beams=5, no_repeat_ngram_size=2)