from transformers import GPT2LMHeadModel, GPT2Tokenizer

MODEL_NAME = "gpt2"  # Ändern Sie dies entsprechend

tokenizer = GPT2Tokenizer.from_pretrained(MODEL_NAME)
model = GPT2LMHeadModel.from_pretrained(MODEL_NAME)

prompt = "Was ist künstliche Intelligenz?"  # Ändern Sie dies entsprechend
inputs = tokenizer.encode(prompt, return_tensors="pt")
outputs = model.generate(inputs, max_length=200, num_return_sequences=5)

for i, output in enumerate(outputs):
    print(f"Output {i+1}: {tokenizer.decode(output)}")