code: def get_test_pipeline(self, model, tokenizer, processor):
      speech_generator = TextToAudioPipeline(
          model=model, tokenizer=tokenizer
      )
      return speech_generator, ["This is a test", "Another test"]
  
file_path: transformers/tests/pipelines/test_pipelines_text_to_audio.py
imports: import unittest
  import numpy
  from transformers import MODEL_FOR_TEXT_TO_WAVEFORM_MAPPING, AutoProcessor, TextToAudioPipeline, pipeline
  from transformers.testing_utils import is_pipeline_test, require_torch, require_torch_accelerator, require_torch_or_tf, slow, torch_device
  from transformers.trainer_utils import set_seed
  from .test_pipelines_common import ANY
label_desc: Use image node_id 7 for calling the TextToAudioPipelineTests obj's underlying member method code with example usage: obj.get_test_pipeline(model, tokenizer, processor) and returns: speech_generator,  list