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| import logging | |
| import numpy as np | |
| import soundfile as sf | |
| from typing import Optional, Generator, Tuple | |
| from utils.tts_base import TTSBase | |
| # Configure logging | |
| logger = logging.getLogger(__name__) | |
| # Flag to track Dia availability | |
| DIA_AVAILABLE = False | |
| DEFAULT_SAMPLE_RATE = 24000 | |
| # Try to import Dia dependencies | |
| try: | |
| import torch | |
| from dia.model import Dia | |
| DIA_AVAILABLE = True | |
| logger.info("Dia TTS engine is available") | |
| except ImportError: | |
| logger.warning("Dia TTS engine is not available") | |
| except ModuleNotFoundError as e: | |
| if "dac" in str(e): | |
| logger.warning("Dia TTS engine is not available due to missing 'dac' module") | |
| else: | |
| logger.warning(f"Dia TTS engine is not available: {str(e)}") | |
| DIA_AVAILABLE = False | |
| def _get_model(): | |
| """Lazy-load the Dia model | |
| Returns: | |
| Dia or None: The Dia model or None if not available | |
| """ | |
| if not DIA_AVAILABLE: | |
| logger.warning("Dia TTS engine is not available") | |
| return None | |
| try: | |
| import torch | |
| from dia.model import Dia | |
| # Initialize the model | |
| model = Dia.from_pretrained() | |
| logger.info("Dia model successfully loaded") | |
| return model | |
| except ImportError as e: | |
| logger.error(f"Failed to import Dia dependencies: {str(e)}") | |
| return None | |
| except FileNotFoundError as e: | |
| logger.error(f"Failed to load Dia model files: {str(e)}") | |
| return None | |
| except Exception as e: | |
| logger.error(f"Failed to initialize Dia model: {str(e)}") | |
| return None | |
| class DiaTTS(TTSBase): | |
| """Dia TTS engine implementation | |
| This engine uses the Dia model for TTS generation. | |
| """ | |
| def __init__(self, lang_code: str = 'z'): | |
| """Initialize the Dia TTS engine | |
| Args: | |
| lang_code (str): Language code for the engine | |
| """ | |
| super().__init__(lang_code) | |
| self.model = None | |
| def _ensure_model(self): | |
| """Ensure the model is loaded | |
| Returns: | |
| bool: True if model is available, False otherwise | |
| """ | |
| if self.model is None: | |
| self.model = _get_model() | |
| return self.model is not None | |
| def generate_speech(self, text: str, voice: str = 'default', speed: float = 1.0) -> Optional[str]: | |
| """Generate speech using Dia TTS engine | |
| Args: | |
| text (str): Input text to synthesize | |
| voice (str): Voice ID (not used in Dia) | |
| speed (float): Speech speed multiplier (not used in Dia) | |
| Returns: | |
| Optional[str]: Path to the generated audio file or None if generation fails | |
| """ | |
| logger.info(f"Generating speech with Dia for text length: {len(text)}") | |
| # Check if Dia is available | |
| if not DIA_AVAILABLE: | |
| logger.error("Dia TTS engine is not available") | |
| return None | |
| # Ensure model is loaded | |
| if not self._ensure_model(): | |
| logger.error("Failed to load Dia model") | |
| return None | |
| try: | |
| import torch | |
| # Generate unique output path | |
| output_path = self._generate_output_path(prefix="dia") | |
| # Generate audio | |
| with torch.inference_mode(): | |
| output_audio_np = self.model.generate( | |
| text, | |
| max_tokens=None, | |
| cfg_scale=3.0, | |
| temperature=1.3, | |
| top_p=0.95, | |
| cfg_filter_top_k=35, | |
| use_torch_compile=False, | |
| verbose=False | |
| ) | |
| if output_audio_np is not None: | |
| logger.info(f"Successfully generated audio with Dia (length: {len(output_audio_np)})") | |
| sf.write(output_path, output_audio_np, DEFAULT_SAMPLE_RATE) | |
| logger.info(f"Dia audio generation complete: {output_path}") | |
| return output_path | |
| else: | |
| logger.error("Dia model returned None for audio output") | |
| return None | |
| except ModuleNotFoundError as e: | |
| if "dac" in str(e): | |
| logger.error("Dia TTS engine failed due to missing 'dac' module") | |
| else: | |
| logger.error(f"Module not found error in Dia TTS: {str(e)}") | |
| return None | |
| except Exception as e: | |
| logger.error(f"Error generating speech with Dia: {str(e)}", exc_info=True) | |
| return None | |
| def generate_speech_stream(self, text: str, voice: str = 'default', speed: float = 1.0) -> Generator[Tuple[int, np.ndarray], None, None]: | |
| """Generate speech stream using Dia TTS engine | |
| Args: | |
| text (str): Input text to synthesize | |
| voice (str): Voice ID (not used in Dia) | |
| speed (float): Speech speed multiplier (not used in Dia) | |
| Yields: | |
| tuple: (sample_rate, audio_data) pairs for each segment | |
| """ | |
| logger.info(f"Generating speech stream with Dia for text length: {len(text)}") | |
| # Check if Dia is available | |
| if not DIA_AVAILABLE: | |
| logger.error("Dia TTS engine is not available") | |
| return | |
| # Ensure model is loaded | |
| if not self._ensure_model(): | |
| logger.error("Failed to load Dia model") | |
| return | |
| try: | |
| import torch | |
| # Generate audio | |
| with torch.inference_mode(): | |
| output_audio_np = self.model.generate( | |
| text, | |
| max_tokens=None, | |
| cfg_scale=3.0, | |
| temperature=1.3, | |
| top_p=0.95, | |
| cfg_filter_top_k=35, | |
| use_torch_compile=False, | |
| verbose=False | |
| ) | |
| if output_audio_np is not None: | |
| logger.info(f"Successfully generated audio with Dia (length: {len(output_audio_np)})") | |
| yield DEFAULT_SAMPLE_RATE, output_audio_np | |
| else: | |
| logger.error("Dia model returned None for audio output") | |
| return | |
| except ModuleNotFoundError as e: | |
| if "dac" in str(e): | |
| logger.error("Dia TTS engine failed due to missing 'dac' module") | |
| else: | |
| logger.error(f"Module not found error in Dia TTS: {str(e)}") | |
| return | |
| except Exception as e: | |
| logger.error(f"Error generating speech stream with Dia: {str(e)}", exc_info=True) | |
| return |