35cf6ac355
Signed-off-by: boatman <109857087+sphinxkkkbc@users.noreply.github.com> Signed-off-by: Yueqian Lin <linyueqian@outlook.com> Co-authored-by: Hongsheng Liu <liuhongsheng4@huawei.com> Co-authored-by: Yueqian Lin <linyueqian@outlook.com>
86 lines
3.2 KiB
Python
86 lines
3.2 KiB
Python
# SPDX-License-Identifier: Apache-2.0
|
|
# SPDX-FileCopyrightText: Copyright contributors to the vLLM-Omni project
|
|
"""AuK Speech API E2E coverage for the encoder -> diffusion deployment."""
|
|
|
|
from __future__ import annotations
|
|
|
|
import io
|
|
import os
|
|
|
|
import numpy as np
|
|
import pytest
|
|
import requests
|
|
import soundfile as sf
|
|
|
|
from tests.helpers.mark import hardware_test
|
|
from tests.helpers.media import get_asset_path
|
|
from tests.helpers.runtime import OmniServerParams
|
|
from tests.helpers.stage_config import get_deploy_config_path
|
|
|
|
MODEL = os.environ.get("VLLM_OMNI_AUK_MODEL_DIR")
|
|
pytestmark = [
|
|
pytest.mark.slow,
|
|
pytest.mark.tts,
|
|
pytest.mark.skipif(not MODEL, reason="set VLLM_OMNI_AUK_MODEL_DIR to an assembled AuK checkpoint"),
|
|
]
|
|
|
|
|
|
@hardware_test(res={"cuda": "H100"}, num_cards=1)
|
|
@pytest.mark.parametrize("reference", [False, True], ids=["instruct", "voice-clone"])
|
|
@pytest.mark.parametrize("stream", [False, True], ids=["wav", "streaming-pcm"])
|
|
@pytest.mark.parametrize(
|
|
"omni_server",
|
|
[
|
|
pytest.param(
|
|
OmniServerParams(
|
|
model=MODEL or ".",
|
|
stage_config_path=get_deploy_config_path("auk.yaml"),
|
|
server_args=["--trust-remote-code", "--disable-log-stats"],
|
|
),
|
|
id="auk",
|
|
)
|
|
],
|
|
indirect=True,
|
|
)
|
|
def test_auk_speech_api_request(omni_server, reference, stream) -> None:
|
|
"""The adapter accepts Speech API requests and returns bounded 24 kHz WAVs."""
|
|
|
|
def generate(duration: float) -> int:
|
|
extra = {}
|
|
if reference:
|
|
extra["ref_audio"] = get_asset_path("cosyvoice3/zero_shot_prompt.wav", as_data_url=True)
|
|
# Match the shared seed-tts benchmark request envelope.
|
|
extra["ref_text"] = "Reference transcript is not required by AuK."
|
|
response = requests.post(
|
|
f"http://{omni_server.host}:{omni_server.port}/v1/audio/speech",
|
|
json={
|
|
"model": omni_server.model,
|
|
"input": "",
|
|
"instructions": (
|
|
"Say the following with the same voice: 'Hello, this is an AuK speech API test.'"
|
|
if reference
|
|
else 'Generate speech based on the following description: "A clear, natural voice.". '
|
|
'The content to speak is: "Hello, this is an AuK speech API test.".'
|
|
),
|
|
"voice": "default",
|
|
"duration_seconds": duration,
|
|
"seed": 7,
|
|
"response_format": "pcm" if stream else "wav",
|
|
"stream": stream,
|
|
"stream_format": "audio" if stream else None,
|
|
**extra,
|
|
},
|
|
timeout=300,
|
|
)
|
|
assert response.status_code == 200, response.text
|
|
if stream:
|
|
waveform = np.frombuffer(response.content, dtype="<i2").astype(np.float32) / 32768
|
|
else:
|
|
waveform, sample_rate = sf.read(io.BytesIO(response.content), dtype="float32")
|
|
assert sample_rate == 24_000
|
|
assert np.isfinite(waveform).all()
|
|
assert np.max(np.abs(waveform)) > 0
|
|
return int(np.asarray(waveform).reshape(-1).shape[0])
|
|
|
|
assert generate(2.0) == 100 * 480
|