35 lines
1000 B
Python
35 lines
1000 B
Python
#!/usr/bin/env python3
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# -*- encoding: utf-8 -*-
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# Copyright FunASR (https://github.com/alibaba-damo-academy/FunASR). All Rights Reserved.
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# MIT License (https://opensource.org/licenses/MIT)
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# To install requirements: pip3 install -U openai-whisper
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from funasr import AutoModel
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# model = AutoModel(model="Whisper-small", hub="openai")
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# model = AutoModel(model="Whisper-medium", hub="openai")
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# model = AutoModel(model="Whisper-large-v2", hub="openai")
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model = AutoModel(
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model="Whisper-large-v3",
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vad_model="iic/speech_fsmn_vad_zh-cn-16k-common-pytorch",
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vad_kwargs={"max_single_segment_time": 30000},
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hub="openai",
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)
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DecodingOptions = {
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"task": "transcribe",
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"language": None,
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"beam_size": None,
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"fp16": True,
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"without_timestamps": False,
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"prompt": None,
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}
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res = model.generate(
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DecodingOptions=DecodingOptions,
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batch_size_s=0,
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input="https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav",
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)
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print(res)
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