| | |
|---|
| | | return [load_audio_text_image_video(audio, fs=fs, audio_fs=audio_fs, data_type=data_type, **kwargs) for audio in data_or_path_or_list] |
|---|
| | | if isinstance(data_or_path_or_list, str) and data_or_path_or_list.startswith('http'): # download url to local file |
|---|
| | | data_or_path_or_list = download_from_url(data_or_path_or_list) |
|---|
| | | pdb.set_trace() |
|---|
| | | |
|---|
| | | if isinstance(data_or_path_or_list, str) and os.path.exists(data_or_path_or_list): # local file |
|---|
| | | if data_type is None or data_type == "sound": |
|---|
| | | data_or_path_or_list, audio_fs = torchaudio.load(data_or_path_or_list) |
|---|
| | |
|---|
| | | else: |
|---|
| | | pass |
|---|
| | | # print(f"unsupport data type: {data_or_path_or_list}, return raw data") |
|---|
| | | pdb.set_trace() |
|---|
| | | |
|---|
| | | if audio_fs != fs and data_type != "text": |
|---|
| | | resampler = torchaudio.transforms.Resample(audio_fs, fs) |
|---|
| | | data_or_path_or_list = resampler(data_or_path_or_list[None, :])[0, :] |
|---|
