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import io
import wave
from dataclasses import dataclass
from typing import Literal, Optional, Tuple
import numpy as np
from fish_speech.text.chn_text_norm.text import Text as ChnNormedText
@dataclass
class InferenceResult:
code: Literal["header", "segment", "error", "final"]
audio: Optional[Tuple[int, np.ndarray]]
error: Optional[Exception]
def normalize_text(user_input: str, use_normalization: bool) -> str:
"""Normalize user input text if needed."""
if use_normalization:
return ChnNormedText(raw_text=user_input).normalize()
else:
return user_input
def wav_chunk_header(
sample_rate: int = 44100, bit_depth: int = 16, channels: int = 1
) -> bytes:
buffer = io.BytesIO()
with wave.open(buffer, "wb") as wav_file:
wav_file.setnchannels(channels)
wav_file.setsampwidth(bit_depth // 8)
wav_file.setframerate(sample_rate)
wav_header_bytes = buffer.getvalue()
buffer.close()
return wav_header_bytes
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