Merge branch 'main' of github.com:alibaba-damo-academy/FunASR add

游雁

2023-04-17 db496d49574fbdd33b799f8a2b59ae6362f9c7d8

 funasr/bin/asr_inference_launch.py

@@ -2,6 +2,9 @@
# Copyright ESPnet (https://github.com/espnet/espnet). All Rights Reserved.
#  Apache 2.0  (http://www.apache.org/licenses/LICENSE-2.0)

import torch
torch.set_num_threads(1)

import argparse
import logging
import os
@@ -210,14 +213,60 @@
    elif mode == "uniasr":
        from funasr.bin.asr_inference_uniasr import inference_modelscope
        return inference_modelscope(**kwargs)
    elif mode == "uniasr_vad":
        from funasr.bin.asr_inference_uniasr_vad import inference_modelscope
        return inference_modelscope(**kwargs)
    elif mode == "paraformer":
        from funasr.bin.asr_inference_paraformer import inference_modelscope
        return inference_modelscope(**kwargs)
    elif mode == "paraformer_streaming":
        from funasr.bin.asr_inference_paraformer_streaming import inference_modelscope
        return inference_modelscope(**kwargs)
    elif mode == "paraformer_vad":
        from funasr.bin.asr_inference_paraformer_vad import inference_modelscope
        return inference_modelscope(**kwargs)
    elif mode == "paraformer_punc":
        logging.info("Unknown decoding mode: {}".format(mode))
        return None
    elif mode == "paraformer_vad_punc":
        from funasr.bin.asr_inference_paraformer_vad_punc import inference_modelscope
        return inference_modelscope(**kwargs)
    elif mode == "vad":
        from funasr.bin.vad_inference import inference_modelscope
        return inference_modelscope(**kwargs)
    elif mode == "mfcca":
        from funasr.bin.asr_inference_mfcca import inference_modelscope
        return inference_modelscope(**kwargs)
    elif mode == "rnnt":
        from funasr.bin.asr_inference_rnnt import inference_modelscope
        return inference_modelscope(**kwargs)
    else:
        logging.info("Unknown decoding mode: {}".format(mode))
        return None

def inference_launch_funasr(**kwargs):
    if 'mode' in kwargs:
        mode = kwargs['mode']
    else:
        logging.info("Unknown decoding mode.")
        return None
    if mode == "asr":
        from funasr.bin.asr_inference import inference
        return inference(**kwargs)
    elif mode == "uniasr":
        from funasr.bin.asr_inference_uniasr import inference
        return inference(**kwargs)
    elif mode == "paraformer":
        from funasr.bin.asr_inference_paraformer import inference
        return inference(**kwargs)
    elif mode == "paraformer_vad_punc":
        from funasr.bin.asr_inference_paraformer_vad_punc import inference
        return inference(**kwargs)
    elif mode == "vad":
        from funasr.bin.vad_inference import inference
        return inference(**kwargs)
    elif mode == "mfcca":
        from funasr.bin.asr_inference_mfcca import inference_modelscope
        return inference_modelscope(**kwargs)
    else:
        logging.info("Unknown decoding mode: {}".format(mode))
@@ -251,7 +300,7 @@
        os.environ["CUDA_DEVICE_ORDER"] = "PCI_BUS_ID"
        os.environ["CUDA_VISIBLE_DEVICES"] = gpuid

    inference_launch(**kwargs)
    inference_launch_funasr(**kwargs)


if __name__ == "__main__":