#!/usr/bin/env python3
# -*- encoding: utf-8 -*-
# Copyright FunASR (https://github.com/alibaba-damo-academy/FunASR). All Rights Reserved.
#  MIT License  (https://opensource.org/licenses/MIT)

# To install requirements: pip3 install -U openai-whisper

from funasr import AutoModel

# model = AutoModel(model="Whisper-small", hub="openai")
# model = AutoModel(model="Whisper-medium", hub="openai")
# model = AutoModel(model="Whisper-large-v2", hub="openai")
model = AutoModel(
    model="Whisper-large-v3-turbo",
    vad_model="iic/speech_fsmn_vad_zh-cn-16k-common-pytorch",
    vad_kwargs={"max_single_segment_time": 30000},
    hub="openai",
)

DecodingOptions = {
    "task": "transcribe",
    "language": None,
    "beam_size": None,
    "fp16": True,
    "without_timestamps": False,
    "prompt": None,
}
res = model.generate(
    DecodingOptions=DecodingOptions,
    batch_size_s=0,
    input="https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav",
)

print(res)