Added it back to gpt2

models/blenderbot.py

@@ -23,6 +23,6 @@ def generate(input_text):
   input_ids = tokenizer.encode(input_text, return_tensors="pt")
   
   # Generate output using the model
-  output_ids = model.generate(input_ids, num_beams=5, no_repeat_ngram_size=2)
+  output_ids = model.generate(input_ids, no_repeat_ngram_size=2, max_new_tokens=100)
   
   return tokenizer.decode(output_ids[0], skip_special_tokens=True)

models/gpt2.py

@@ -16,6 +16,6 @@ def generate(input_text):
   attention_mask = tf.ones_like(input_ids)
   
   # Generate output using the model
-  output_ids = model.generate(input_ids, no_repeat_ngram_size=2, max_new_tokens=100)
+  output_ids = model.generate(input_ids, num_beams=5, no_repeat_ngram_size=2, max_new_tokens=100)
   
   return tokenizer.decode(output_ids[0], skip_special_tokens=True)