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from transformers import GPT2Tokenizer, TFGPT2LMHeadModel
# https://www.youtube.com/watch?v=irjYqV6EebU
model_name = "gpt2"
def load():
global model
global tokenizer
model = TFGPT2LMHeadModel.from_pretrained(model_name)
tokenizer = GPT2Tokenizer.from_pretrained(model_name)
def generate(input_text):
# Tokenize the 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)
return tokenizer.decode(output_ids[0], skip_special_tokens=True) |