funasr/bin/eend_ola_inference.py
@@ -27,9 +27,6 @@ from funasr.utils.types import str2triple_str from funasr.utils.types import str_or_none from modelscope.utils.logger import get_logger logger = get_logger() class Speech2Diarization: """Speech2Diarlization class @@ -211,7 +208,6 @@ if isinstance(raw_inputs, torch.Tensor): raw_inputs = raw_inputs.numpy() data_path_and_name_and_type = [raw_inputs[0], "speech", "bytes"] logger.info(data_path_and_name_and_type) loader = EENDOLADiarTask.build_streaming_iterator( data_path_and_name_and_type, dtype=dtype,