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

雾聪

2023-05-17 8706e767affc6bdc8cb7a67ca3a20a62779ff048

 funasr/bin/asr_inference_launch.py

@@ -1,6 +1,4 @@
#!/usr/bin/env python3
# Copyright ESPnet (https://github.com/espnet/espnet). All Rights Reserved.
#  Apache 2.0  (http://www.apache.org/licenses/LICENSE-2.0)

import argparse
import logging
@@ -73,7 +71,13 @@
    )
    group.add_argument("--key_file", type=str_or_none)
    group.add_argument("--allow_variable_data_keys", type=str2bool, default=False)

    group.add_argument(
            "--mc",
            type=bool,
            default=False,
            help="MultiChannel input",
        )
        
    group = parser.add_argument_group("The model configuration related")
    group.add_argument(
        "--vad_infer_config",
@@ -250,27 +254,15 @@
    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.startswith("paraformer_vad"):
        from funasr.bin.asr_inference_paraformer import inference_modelscope_vad_punc
        return inference_modelscope_vad_punc(**kwargs)
    elif mode == "mfcca":
        from funasr.bin.asr_inference_mfcca import inference_modelscope
        return inference_modelscope(**kwargs)
@@ -290,18 +282,20 @@
    if mode == "asr":
        from funasr.bin.asr_inference import inference
        return inference(**kwargs)
    elif mode == "sa_asr":
        from funasr.bin.sa_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)
        from funasr.bin.asr_inference_paraformer import inference_modelscope
        inference_pipeline = inference_modelscope(**kwargs)
        return inference_pipeline(kwargs["data_path_and_name_and_type"], hotword=kwargs.get("hotword", None))
    elif mode.startswith("paraformer_vad"):
        from funasr.bin.asr_inference_paraformer import inference_modelscope_vad_punc
        inference_pipeline = inference_modelscope_vad_punc(**kwargs)
        return inference_pipeline(kwargs["data_path_and_name_and_type"], hotword=kwargs.get("hotword", None))
    elif mode == "mfcca":
        from funasr.bin.asr_inference_mfcca import inference_modelscope
        return inference_modelscope(**kwargs)
@@ -344,4 +338,4 @@


if __name__ == "__main__":
    main()
    main()