from transformers import GPT2LMHeadModel, GPT2Tokenizer

# Load the pre-trained model and tokenizer
tokenizer = GPT2Tokenizer.from_pretrained("sberbank-ai/mGPT")
model = GPT2LMHeadModel.from_pretrained("sberbank-ai/mGPT")

# Input text
text = "Александр Сергеевич Пушкин родился в "

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

# Generate text
out = model.generate(
    input_ids,
    min_length=100,
    max_length=100,
    eos_token_id=5,
    pad_token_id=1,
    top_k=10,
    top_p=0.0,
    no_repeat_ngram_size=5
)

# Decode the generated output
generated_text = list(map(tokenizer.decode, out))[0]
print(generated_text)