from transformers import GPT2LMHeadModel, GPT2Tokenizer

# Load the pre-trained GPT-2 model and tokenizer
model = GPT2LMHeadModel.from_pretrained("gpt2")
tokenizer = GPT2Tokenizer.from_pretrained("gpt2")

# Define your prompt
prompt = "Ideas for a new product"

# Generate ideas with the MindGPT AI model
input_ids = tokenizer.encode(prompt, return_tensors='pt')
output = model.generate(input_ids, max_length=50, do_sample=True)

# Decode the generated ideas and print them
generated_ideas = tokenizer.decode(output[0], skip_special_tokens=True)
print(generated_ideas)