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import re
from hashlib import sha256
from pathlib import Path
from typing import Callable, Literal, Tuple
import torch
import torchaudio
from loguru import logger
from fish_speech.models.dac.modded_dac import DAC
from fish_speech.utils.file import (
AUDIO_EXTENSIONS,
audio_to_bytes,
list_files,
read_ref_text,
)
from fish_speech.utils.schema import ServeReferenceAudio
_ID_PATTERN = re.compile(r"^[a-zA-Z0-9\-_ ]+$")
class ReferenceLoader:
def __init__(self) -> None:
"""
Component of the TTSInferenceEngine class.
Loads and manages the cache for the reference audio and text.
"""
self.ref_by_id: dict = {}
self.ref_by_hash: dict = {}
# Make Pylance happy (attribut/method not defined...)
self.decoder_model: DAC
self.encode_reference: Callable
# Define the torchaudio backend
# list_audio_backends() was removed in torchaudio 2.9
try:
backends = torchaudio.list_audio_backends()
if "ffmpeg" in backends:
self.backend = "ffmpeg"
else:
self.backend = "soundfile"
except AttributeError:
# torchaudio 2.9+ removed list_audio_backends()
# Try ffmpeg first, fallback to soundfile
try:
__import__("torchaudio.io._load_audio_fileobj")
self.backend = "ffmpeg"
except (ImportError, ModuleNotFoundError):
self.backend = "soundfile"
@staticmethod
def _validate_id(id: str) -> None:
if not _ID_PATTERN.match(id) or len(id) > 255:
raise ValueError(
"Reference ID contains invalid characters or is too long. "
"Only alphanumeric, hyphens, underscores, and spaces are allowed."
)
def load_by_id(
self,
id: str,
use_cache: Literal["on", "off"],
) -> Tuple:
self._validate_id(id)
# Load the references audio and text by id
ref_folder = Path("references") / id
ref_folder.mkdir(parents=True, exist_ok=True)
ref_audios = list_files(
ref_folder, AUDIO_EXTENSIONS, recursive=True, sort=False
)
if use_cache == "off" or id not in self.ref_by_id:
# If the references are not already loaded, encode them
prompt_tokens = [
self.encode_reference(
# decoder_model=self.decoder_model,
reference_audio=audio_to_bytes(str(ref_audio)),
enable_reference_audio=True,
)
for ref_audio in ref_audios
]
prompt_texts = [
read_ref_text(str(ref_audio.with_suffix(".lab")))
for ref_audio in ref_audios
]
self.ref_by_id[id] = (prompt_tokens, prompt_texts)
else:
# Reuse already encoded references
logger.info("Use same references")
prompt_tokens, prompt_texts = self.ref_by_id[id]
return prompt_tokens, prompt_texts
def load_by_hash(
self,
references: list[ServeReferenceAudio],
use_cache: Literal["on", "off"],
) -> Tuple:
# Load the references audio and text by hash
audio_hashes = [sha256(ref.audio).hexdigest() for ref in references]
cache_used = False
prompt_tokens, prompt_texts = [], []
for i, ref in enumerate(references):
if use_cache == "off" or audio_hashes[i] not in self.ref_by_hash:
# If the references are not already loaded, encode them
prompt_tokens.append(
self.encode_reference(
reference_audio=ref.audio,
enable_reference_audio=True,
)
)
prompt_texts.append(ref.text)
self.ref_by_hash[audio_hashes[i]] = (prompt_tokens[-1], ref.text)
else:
# Reuse already encoded references
cached_token, cached_text = self.ref_by_hash[audio_hashes[i]]
prompt_tokens.append(cached_token)
prompt_texts.append(cached_text)
cache_used = True
if cache_used:
logger.info("Use same references")
return prompt_tokens, prompt_texts
def load_audio(self, reference_audio: bytes | str, sr: int):
"""
Load the audio data from a file or bytes.
"""
if len(reference_audio) > 255 or not Path(reference_audio).exists():
audio_data = reference_audio
reference_audio = io.BytesIO(audio_data)
waveform, original_sr = torchaudio.load(reference_audio, backend=self.backend)
if waveform.shape[0] > 1:
waveform = torch.mean(waveform, dim=0, keepdim=True)
if original_sr != sr:
resampler = torchaudio.transforms.Resample(
orig_freq=original_sr, new_freq=sr
)
waveform = resampler(waveform)
audio = waveform.squeeze().numpy()
return audio
def list_reference_ids(self) -> list[str]:
"""
List all valid reference IDs (subdirectory names containing valid audio and .lab files).
Returns:
list[str]: List of valid reference IDs
"""
ref_base_path = Path("references")
if not ref_base_path.exists():
return []
valid_ids = []
for ref_dir in ref_base_path.iterdir():
if not ref_dir.is_dir():
continue
# Check if directory contains at least one audio file and corresponding .lab file
audio_files = list_files(
ref_dir, AUDIO_EXTENSIONS, recursive=False, sort=False
)
if not audio_files:
continue
# Check if corresponding .lab file exists for at least one audio file
has_valid_pair = False
for audio_file in audio_files:
lab_file = audio_file.with_suffix(".lab")
if lab_file.exists():
has_valid_pair = True
break
if has_valid_pair:
valid_ids.append(ref_dir.name)
return sorted(valid_ids)
def add_reference(self, id: str, wav_file_path: str, reference_text: str) -> None:
"""
Add a new reference voice by creating a new directory and copying files.
Args:
id: Reference ID (directory name)
wav_file_path: Path to the audio file to copy
reference_text: Text content for the .lab file
Raises:
FileExistsError: If the reference ID already exists
FileNotFoundError: If the audio file doesn't exist
OSError: If file operations fail
"""
self._validate_id(id)
# Check if reference already exists
ref_dir = Path("references") / id
if ref_dir.exists():
raise FileExistsError(f"Reference ID '{id}' already exists")
# Check if audio file exists
audio_path = Path(wav_file_path)
if not audio_path.exists():
raise FileNotFoundError(f"Audio file not found: {wav_file_path}")
# Validate audio file extension
if audio_path.suffix.lower() not in AUDIO_EXTENSIONS:
raise ValueError(
f"Unsupported audio format: {audio_path.suffix}. Supported formats: {', '.join(AUDIO_EXTENSIONS)}"
)
try:
# Create reference directory
ref_dir.mkdir(parents=True, exist_ok=False)
# Determine the target audio filename with original extension
target_audio_path = ref_dir / f"sample{audio_path.suffix}"
# Copy audio file
import shutil
shutil.copy2(audio_path, target_audio_path)
# Create .lab file
lab_path = ref_dir / "sample.lab"
with open(lab_path, "w", encoding="utf-8") as f:
f.write(reference_text)
# Clear cache for this ID if it exists
if id in self.ref_by_id:
del self.ref_by_id[id]
logger.info(f"Successfully added reference voice with ID: {id}")
except Exception as e:
# Clean up on failure
if ref_dir.exists():
import shutil
shutil.rmtree(ref_dir)
raise e
def delete_reference(self, id: str) -> None:
"""
Delete a reference voice by removing its directory and files.
Args:
id: Reference ID (directory name) to delete
Raises:
FileNotFoundError: If the reference ID doesn't exist
OSError: If file operations fail
"""
self._validate_id(id)
ref_dir = Path("references") / id
if not ref_dir.exists():
raise FileNotFoundError(f"Reference ID '{id}' does not exist")
try:
# Remove the entire reference directory
import shutil
shutil.rmtree(ref_dir)
# Clear cache for this ID if it exists
if id in self.ref_by_id:
del self.ref_by_id[id]
logger.info(f"Successfully deleted reference voice with ID: {id}")
except Exception as e:
logger.error(f"Failed to delete reference '{id}': {e}")
raise OSError(f"Failed to delete reference '{id}': {e}")
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