Random Sentence Generation with Fairseq Model

This function uses the Fairseq library's model and vocabulary to generate a random sentence.

Technology Stack : Fairseq, PyTorch, Dictionary

Code Type : Function

Code Difficulty : Intermediate

                
                    
def generate_random_sentence(model, vocabulary, length=10):
    """
    Generate a random sentence using a Fairseq model and vocabulary.
    """
    import torch
    from fairseq.data import Dictionary

    # Ensure the model and vocabulary are in the correct format
    assert isinstance(model, torch.nn.Module)
    assert isinstance(vocabulary, Dictionary)

    # Generate a random sequence of indices
    random_indices = torch.randint(0, vocabulary.size(), (length,))
    
    # Generate the sentence by converting indices to tokens
    sentence_tokens = [vocabulary.index_to_token(i) for i in random_indices]
    
    # Join tokens to form the sentence
    sentence = ' '.join(sentence_tokens)
    
    return sentence