31 lines
1.2 KiB
Python
31 lines
1.2 KiB
Python
# SPDX-License-Identifier: Apache-2.0
|
|
"""GLM-TTS serving adapter."""
|
|
|
|
from typing import TYPE_CHECKING
|
|
|
|
from vllm_omni.entrypoints.openai.tts_adapters import register_tts_adapter
|
|
from vllm_omni.entrypoints.openai.tts_adapters.base import ARTTSAdapter, PreparedRequest
|
|
|
|
if TYPE_CHECKING:
|
|
from vllm_omni.entrypoints.openai.protocol.audio import OpenAICreateSpeechRequest
|
|
|
|
|
|
@register_tts_adapter
|
|
class GlmTTSAdapter(ARTTSAdapter):
|
|
stage_keys = frozenset({"glm_tts"})
|
|
name = "glm_tts"
|
|
|
|
def validate(self, request: "OpenAICreateSpeechRequest") -> str | None:
|
|
err = self.ctx.server._apply_uploaded_speaker(request)
|
|
if err:
|
|
return err
|
|
return self.ctx.server._validate_glm_tts_request(request)
|
|
|
|
async def build(
|
|
self, request: "OpenAICreateSpeechRequest", sampling_params_list: list, has_inline_ref_audio: bool
|
|
) -> PreparedRequest:
|
|
prompt = await self.ctx.server._build_glm_tts_prompt(request, has_inline_ref_audio=has_inline_ref_audio)
|
|
# GLM-TTS dynamic-token sampling stays in the orchestrator tail
|
|
# (keyed on _tts_model_type) during this incremental migration.
|
|
return PreparedRequest(prompt=prompt, tts_params={}, model_type="glm_tts")
|