ea1a416a17
Signed-off-by: noname <liuzhiwei08@kuaishou.com> Signed-off-by: noname <133508552+lzwnoname@users.noreply.github.com> Signed-off-by: Yueqian Lin <linyueqian@outlook.com> Co-authored-by: noname <liuzhiwei08@kuaishou.com> Co-authored-by: Yueqian Lin <linyueqian@outlook.com>
101 lines
3.0 KiB
Python
101 lines
3.0 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM-Omni project
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"""
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E2E Online tests for Breeze-TTS-2 with text input and audio output.
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These tests verify the /v1/audio/speech endpoint works correctly with
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actual model inference, not mocks. Breeze-TTS-2 plain mode needs only
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``input`` and a speaker tag (``voice`` defaults to ``S0``); reference
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cloning requires ``ref_audio`` + ``ref_text`` and is not exercised here.
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"""
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import os
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os.environ["VLLM_WORKER_MULTIPROC_METHOD"] = "spawn"
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import pytest
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from tests.helpers.mark import hardware_test
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from tests.helpers.runtime import OmniServerParams
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from tests.helpers.stage_config import get_deploy_config_path
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MODEL = "BreezeBlue/Breeze-TTS-2"
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DEFAULT_AUDIO_SPEECH_TIMEOUT_S = 300.0
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MAX_CONCURRENT = 4
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# ~0.5 s of 24 kHz mono PCM_16 in WAV (~24k payload + header).
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_MIN_AUDIO_BYTES = 40_000
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def get_prompt(prompt_type="text"):
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"""English prompt for zero-shot TTS."""
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prompts = {
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"text": "The weather is nice today, perfect for a walk in the park.",
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}
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return prompts.get(prompt_type, prompts["text"])
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tts_server_params = [
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pytest.param(
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OmniServerParams(
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model=MODEL,
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stage_config_path=get_deploy_config_path("breeze_tts_2.yaml"),
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server_args=["--trust-remote-code", "--disable-log-stats"],
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),
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id="breeze_tts_2",
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)
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]
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@pytest.mark.slow
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@pytest.mark.tts
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@hardware_test(res={"cuda": "L4"}, num_cards=1)
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@pytest.mark.parametrize("omni_server", tts_server_params, indirect=True)
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def test_text_to_audio_001(omni_server, online_client) -> None:
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"""
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Test plain text-to-audio via OpenAI API.
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Deploy Setting: breeze_tts_2.yaml
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Input Modal: text
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Output Modal: audio
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Input Setting: stream=False
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Datasets: few requests (max_num_seqs=8)
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"""
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request_config = {
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"model": omni_server.model,
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"input": get_prompt(),
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"stream": False,
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"timeout": DEFAULT_AUDIO_SPEECH_TIMEOUT_S,
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"response_format": "wav",
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"voice": "S0",
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"sample_rate": 24000,
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"min_audio_bytes": _MIN_AUDIO_BYTES,
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}
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online_client.send_audio_speech_request(request_config, request_num=MAX_CONCURRENT)
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@pytest.mark.slow
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@pytest.mark.tts
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@hardware_test(res={"cuda": "L4"}, num_cards=1)
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@pytest.mark.parametrize("omni_server", tts_server_params, indirect=True)
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def test_text_to_audio_002(omni_server, online_client) -> None:
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"""
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Test streaming text-to-audio via OpenAI API (async-chunk SSE deltas).
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Deploy Setting: breeze_tts_2.yaml
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Input Modal: text
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Output Modal: audio
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Input Setting: stream=True
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Datasets: single request
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"""
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request_config = {
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"model": omni_server.model,
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"input": get_prompt(),
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"stream": True,
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"stream_format": "audio",
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"timeout": DEFAULT_AUDIO_SPEECH_TIMEOUT_S,
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"response_format": "wav",
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"voice": "S0",
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"sample_rate": 24000,
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"min_audio_bytes": _MIN_AUDIO_BYTES,
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}
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online_client.send_audio_speech_request(request_config)
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