FunASR/examples/industrial_data_pretraining/emotion2vec/demo.py
zhifu gao 675b4605e8
Dev gzf llm (#1506)
* update

* update

* update

* update onnx

* update with main (#1492)

* contextual&seaco ONNX export (#1481)

* contextual&seaco ONNX export

* update ContextualEmbedderExport2

* update ContextualEmbedderExport2

* update code

* onnx (#1482)

* qwenaudio qwenaudiochat

* qwenaudio qwenaudiochat

* whisper

* whisper

* llm

* llm

* llm

* llm

* llm

* llm

* llm

* llm

* export onnx

* export onnx

* export onnx

* dingding

* dingding

* llm

* doc

* onnx

* onnx

* onnx

* onnx

* onnx

* onnx

* v1.0.15

* qwenaudio

* qwenaudio

* issue doc

* update

* update

* bugfix

* onnx

* update export calling

* update codes

* remove useless code

* update code

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Co-authored-by: zhifu gao <zhifu.gzf@alibaba-inc.com>

* acknowledge

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Co-authored-by: Shi Xian <40013335+R1ckShi@users.noreply.github.com>

* update onnx

* update onnx

* train update

* train update

* train update

* train update

* punc update

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Co-authored-by: Shi Xian <40013335+R1ckShi@users.noreply.github.com>
2024-03-15 21:14:08 +08:00

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Python

#!/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)
from funasr import AutoModel
# model="iic/emotion2vec_base"
model = AutoModel(model="iic/emotion2vec_base_finetuned", model_revision="v2.0.4")
wav_file = f"{model.model_path}/example/test.wav"
res = model.generate(wav_file, output_dir="./outputs", granularity="utterance", extract_embedding=False)
print(res)