#!/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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from funasr import AutoModel
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wav_file = "/Users/zhifu/funasr_github/test_local/asr_example.wav"
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chunk_size = 60000 # ms
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model = AutoModel(model="/Users/zhifu/Downloads/modelscope_models/speech_fsmn_vad_zh-cn-16k-common-streaming", model_revision="v2.0.0")
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res = model(input=wav_file,
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chunk_size=chunk_size,
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)
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print(res)
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#
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# import soundfile
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# import os
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#
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# # wav_file = os.path.join(model.model_path, "example/vad_example.wav")
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# speech, sample_rate = soundfile.read(wav_file)
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#
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# chunk_stride = int(chunk_size * 16000 / 1000)
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#
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# cache = {}
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#
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# for i in range(int(len((speech)-1)/chunk_stride+1)):
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# speech_chunk = speech[i*chunk_stride:(i+1)*chunk_stride]
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# is_final = i == int(len((speech)-1)/chunk_stride+1)
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# res = model(input=speech_chunk,
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# cache=cache,
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# is_final=is_final,
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# chunk_size=chunk_size,
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# )
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# print(res)
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