1from __future__ import annotations
2
3import os
4
5import daft
6from daft import col
7
8from daft.aihc.common.udf import aihc_udf
9from daft.aihc.functions.audio.audio_speaker_diarization import AudioSpeakerDiarization
10
11if __name__ == "__main__":
12    if os.getenv("DAFT_RUNNER", "native") == "ray":
13        import ray
14        ray.init(dashboard_host="0.0.0.0", ignore_reinit_error=True)
15        daft.set_runner_ray()
16    daft.set_execution_config(actor_udf_ready_timeout=6000, min_cpu_per_task=0)
17
18    # TODO: 根据实际场景准备样本数据
19    samples = {"audios": [...]}
20    ds = daft.from_pydict(samples)
21    constructor_kwargs = {
22        "model_path": '/opt/aihc/models',
23        "rank": 0,
24    }
25    ds = ds.with_column(
26        "result",
27        aihc_udf(
28            AudioSpeakerDiarization,
29            construct_args=constructor_kwargs,
30            num_cpus=1,
31            concurrency=4,
32            batch_size=8,
33        )(col("audios")),
34    )
35    ds.show()