from transformers import GPT2LMHeadModel, GPT2Tokenizer

# Load the pre-trained GPT-2 model and tokenizer
model_name = "gpt2"  # You can use other GPT-2 variants like "gpt2-medium" or "gpt2-large"
model = GPT2LMHeadModel.from_pretrained(model_name)
tokenizer = GPT2Tokenizer.from_pretrained(model_name)

# Input text
input_text = "Once upon a time, in a land far, far away..."

# Tokenize the input text
input_ids = tokenizer.encode(input_text, return_tensors="pt")

# Generate text
output = model.generate(input_ids, max_length=100, num_return_sequences=1)

# Decode and print the generated text
generated_text = tokenizer.decode(output[0], skip_special_tokens=True)
print(generated_text)