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Update API Documentation / build-api-docs (push) Has been cancelled
Add complete FunASR codebase including models, runtime, and documentation.
114 lines
2.7 KiB
Python
114 lines
2.7 KiB
Python
#!/usr/bin/env python3
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# -*- encoding: utf-8 -*-
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# Copyright FunASR (https://github.com/FunAudioLLM/SenseVoice). All Rights Reserved.
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# MIT License (https://opensource.org/licenses/MIT)
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from funasr import AutoModel
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from funasr.utils.postprocess_utils import rich_transcription_postprocess
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model_dir = "iic/SenseVoiceSmall"
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model = AutoModel(
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model=model_dir,
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vad_model="fsmn-vad",
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vad_kwargs={"max_single_segment_time": 30000},
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device="cuda:0",
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)
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# en
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res = model.generate(
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input=f"{model.model_path}/example/en.mp3",
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cache={},
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language="auto", # "zh", "en", "yue", "ja", "ko", "nospeech"
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use_itn=True,
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batch_size_s=60,
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merge_vad=True, #
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merge_length_s=15,
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)
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text = rich_transcription_postprocess(res[0]["text"])
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print(text)
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# en with timestamp
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res = model.generate(
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input=f"{model.model_path}/example/en.mp3",
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cache={},
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language="auto", # "zh", "en", "yue", "ja", "ko", "nospeech"
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use_itn=True,
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batch_size_s=60,
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merge_vad=True, #
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merge_length_s=15,
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output_timestamp=True,
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)
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print(res)
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text = rich_transcription_postprocess(res[0]["text"])
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print(text)
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# zh
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res = model.generate(
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input=f"{model.model_path}/example/zh.mp3",
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cache={},
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language="auto", # "zh", "en", "yue", "ja", "ko", "nospeech"
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use_itn=True,
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batch_size_s=60,
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merge_vad=True, #
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merge_length_s=15,
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)
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text = rich_transcription_postprocess(res[0]["text"])
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print(text)
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# zh with timestamp
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res = model.generate(
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input=f"{model.model_path}/example/zh.mp3",
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cache={},
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language="auto", # "zh", "en", "yue", "ja", "ko", "nospeech"
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use_itn=True,
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batch_size_s=60,
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merge_vad=True, #
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merge_length_s=15,
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output_timestamp=True,
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)
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print(res)
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text = rich_transcription_postprocess(res[0]["text"])
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print(text)
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# yue
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res = model.generate(
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input=f"{model.model_path}/example/yue.mp3",
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cache={},
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language="auto", # "zh", "en", "yue", "ja", "ko", "nospeech"
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use_itn=True,
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batch_size_s=60,
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merge_vad=True, #
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merge_length_s=15,
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)
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text = rich_transcription_postprocess(res[0]["text"])
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print(text)
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# ja
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res = model.generate(
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input=f"{model.model_path}/example/ja.mp3",
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cache={},
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language="auto", # "zh", "en", "yue", "ja", "ko", "nospeech"
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use_itn=True,
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batch_size_s=60,
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merge_vad=True, #
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merge_length_s=15,
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)
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text = rich_transcription_postprocess(res[0]["text"])
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print(text)
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# ko
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res = model.generate(
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input=f"{model.model_path}/example/ko.mp3",
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cache={},
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language="auto", # "zh", "en", "yue", "ja", "ko", "nospeech"
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use_itn=True,
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batch_size_s=60,
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merge_vad=True, #
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merge_length_s=15,
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)
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text = rich_transcription_postprocess(res[0]["text"])
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print(text)
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