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import os
import torch
import torchaudio
import spaces # Import spaces module for Zero-GPU
from tortoise.api import TextToSpeech
from tortoise.utils.audio import load_audio
# Create cache/output directory
os.makedirs("outputs", exist_ok=True)
# Create a global TTS model instance
tts_model = None
@spaces.GPU # Add spaces.GPU decorator for Zero-GPU support
async def generate_speech(text, voice_preset="random", voice_file_path=None):
global tts_model
try:
# Initialize the model if not already initialized
if tts_model is None:
print("Initializing Tortoise-TTS model...")
tts_model = TextToSpeech(use_deepspeed=torch.cuda.is_available())
print(f"Model initialized. Using device: {next(tts_model.autoregressive.parameters()).device}")
# Process voice sample if provided
voice_samples = None
if voice_file_path and os.path.exists(voice_file_path):
print(f"Loading voice from {voice_file_path}")
voice_samples, _ = load_audio(voice_file_path, 22050)
voice_samples = [voice_samples]
voice_preset = None
# Generate speech
print(f"Generating speech for text: {text[:50]}...")
output_filename = f"outputs/tts_output_{hash(text) % 10000}.wav"
gen = tts_model.tts_with_preset(
text,
voice_samples=voice_samples,
preset=voice_preset
)
# Save the generated audio
torchaudio.save(output_filename, gen.squeeze(0).cpu(), 24000)
print(f"Speech generated and saved to {output_filename}")
# Return the filename and audio data
return output_filename, (24000, gen.squeeze(0).cpu())
except Exception as e:
print(f"Error generating speech: {str(e)}")
raise |