| from transformers import AutoModelForCausalLM, AutoTokenizer | |
| import torch | |
| # Load the generator model | |
| melody_model = AutoModelForCausalLM.from_pretrained("your_model_repo/multi-model-music-generator") | |
| tokenizer = AutoTokenizer.from_pretrained("gpt2") | |
| # Define a prompt for generating music | |
| prompt = "A smooth jazz melody with a lively rhythm" | |
| # Tokenize input and generate music | |
| inputs = tokenizer(prompt, return_tensors="pt") | |
| outputs = melody_model.generate(inputs['input_ids'], max_length=200) | |
| # Decode to text or MIDI, based on the final setup | |
| generated_music = tokenizer.decode(outputs[0], skip_special_tokens=True) | |
| print(generated_music) | |