piper-tts

import piper import os # NOTE: Model files (.onnx and .json) are NOT included with the pip package. # You MUST download them separately, e.g., from huggingface.co/rhasspy/piper-voices # Example: 'en_US-lessac-medium.onnx' and 'en_US-lessac-medium.json' # Provide paths to your downloaded model files model_path = os.environ.get('PIPER_MODEL_PATH', 'path/to/your_downloaded_model.onnx') config_path = os.environ.get('PIPER_CONFIG_PATH', 'path/to/your_downloaded_model.json') if not os.path.exists(model_path) or not os.path.exists(config_path): print(f"Error: Model files not found. Please download '.onnx' and '.json' files.") print(f" Expected model at: {model_path}") print(f" Expected config at: {config_path}") print(f" Download example: https://huggingface.co/rhasspy/piper-voices/tree/main") else: try: # Load the voice model voice = piper.PiperVoice.load(model_path, config_path=config_path) # Get default synthesis configuration synthesis_config = voice.config.synthesis text = "Hello, this is a test from Piper TTS." print(f"Synthesizing: '{text}'") audio_chunks_generator = voice.synthesize(text, synthesis_config) num_chunks = 0 for audio_bytes in audio_chunks_generator: num_chunks += 1 # In a real application, you would save audio_bytes to a file # or stream it for real-time playback (e.g., using 'sounddevice'). # Example: print(f"Received chunk of {len(audio_bytes)} bytes.") pass # Just iterate to demonstrate generation print(f"Successfully generated {num_chunks} audio chunks.") print("Audio can be saved to a WAV file using Python's 'wave' module or 'soundfile'.") except Exception as e: print(f"An unexpected error occurred: {e}")