#!/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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# model="iic/emotion2vec_base"
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# model="iic/emotion2vec_base_finetuned"
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# model="iic/emotion2vec_plus_seed"
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# model="iic/emotion2vec_plus_base"
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model = "iic/emotion2vec_plus_large"
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model = AutoModel(
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model=model,
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# vad_model="iic/speech_fsmn_vad_zh-cn-16k-common-pytorch",
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# vad_model_revision="master",
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# vad_kwargs={"max_single_segment_time": 2000},
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hub="ms", # "ms" or "modelscope" for Mainland China users; "hf" or "huggingface" for Other overseas users
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)
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wav_file = f"{model.model_path}/example/test.wav"
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res = model.generate(
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wav_file, output_dir="./outputs", granularity="utterance", extract_embedding=False
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)
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print(res)
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