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from typing import Annotated, Literal, Optional
from pydantic import BaseModel, Field, conint
class ServeReferenceAudio(BaseModel):
audio: bytes
text: str
class ServeTTSRequest(BaseModel):
text: str
chunk_length: Annotated[int, conint(ge=100, le=300, strict=True)] = 200
# Audio format
format: Literal["wav", "pcm", "mp3"] = "wav"
mp3_bitrate: Literal[64, 128, 192] = 128
# References audios for in-context learning
references: list[ServeReferenceAudio] = []
# Reference id
# For example, if you want use https://fish.audio/m/7f92f8afb8ec43bf81429cc1c9199cb1/
# Just pass 7f92f8afb8ec43bf81429cc1c9199cb1
reference_id: str | None = None
# Normalize text for en & zh, this increase stability for numbers
normalize: bool = True
mp3_bitrate: Optional[int] = 64
opus_bitrate: Optional[int] = -1000
# Balance mode will reduce latency to 300ms, but may decrease stability
latency: Literal["normal", "balanced"] = "normal"
# not usually used below
streaming: bool = False
emotion: Optional[str] = None
max_new_tokens: int = 1024
top_p: Annotated[float, Field(ge=0.1, le=1.0, strict=True)] = 0.7
repetition_penalty: Annotated[float, Field(ge=0.9, le=2.0, strict=True)] = 1.2
temperature: Annotated[float, Field(ge=0.1, le=1.0, strict=True)] = 0.7
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