48 lines
1.9 KiB
Python
48 lines
1.9 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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"""Higgs-Audio v3 serving adapter."""
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from typing import TYPE_CHECKING, Any
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from vllm_omni.entrypoints.openai.tts_adapters import register_tts_adapter
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from vllm_omni.entrypoints.openai.tts_adapters.base import ARTTSAdapter, PreparedRequest, apply_max_new_tokens
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if TYPE_CHECKING:
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from vllm_omni.entrypoints.openai.protocol.audio import OpenAICreateSpeechRequest
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@register_tts_adapter
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class HiggsAudioV3Adapter(ARTTSAdapter):
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stage_keys = frozenset({"higgs_audio_v3"})
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name = "higgs_audio_v3"
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def validate(self, request: "OpenAICreateSpeechRequest") -> str | None:
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"""Validate higgs_audio_v3 request parameters."""
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server = self.ctx.server
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err = server._apply_uploaded_speaker(request)
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if err:
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return err
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if not request.input or not request.input.strip():
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return "higgs_audio_v3: input text cannot be empty"
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if request.ref_audio is not None and not request.ref_text:
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# Voice clone ref_text is optional for v3 (improves fidelity but not required)
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pass
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if request.max_new_tokens is not None:
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if request.max_new_tokens < self.max_new_tokens_min:
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return f"max_new_tokens must be at least {self.max_new_tokens_min}"
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return None
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async def build(
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self, request: "OpenAICreateSpeechRequest", sampling_params_list: list, has_inline_ref_audio: bool
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) -> PreparedRequest:
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prompt = await self.ctx.server._build_higgs_audio_v3_params(request)
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return PreparedRequest(prompt=prompt, tts_params={}, model_type="higgs_audio_v3")
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def apply_sampling_overrides(
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self,
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sampling_params_list: list,
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request: "OpenAICreateSpeechRequest",
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prompt: dict[str, Any] | None = None,
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request_id: str | None = None,
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) -> list:
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return apply_max_new_tokens(sampling_params_list, request)
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