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# VOICE SYNTHESIS MODULE FOR JAY'S MOBILE WASH | |
# Simplified version without PyTorch dependencies | |
import os | |
import logging | |
import json | |
import time | |
import traceback | |
from pathlib import Path | |
# Configure logging | |
logging.basicConfig( | |
level=logging.INFO, | |
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s' | |
) | |
logger = logging.getLogger('voice_synthesis') | |
# Import utility functions | |
try: | |
from modules.utils import handle_errors, ErrorManager, generate_id | |
except ImportError: | |
logger.error("Failed to import utils - using fallbacks") | |
# Fallback definitions if imports fail | |
def handle_errors(func): | |
return func | |
class ErrorManager: | |
def add_error(*args, **kwargs): | |
logger.error(f"Error: {kwargs.get('error_message', 'Unknown error')}") | |
def generate_id(prefix='id_'): | |
import random | |
timestamp = int(time.time() * 1000) | |
random_part = random.randint(1000, 9999) | |
return f"{prefix}{timestamp}{random_part}" | |
# Paths | |
try: | |
from modules.utils import STATIC_DIR | |
SAMPLES_DIR = os.path.join(STATIC_DIR, "samples") | |
MODELS_DIR = os.path.join(STATIC_DIR, "models") | |
except ImportError: | |
# Fallback paths if import fails | |
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) | |
STATIC_DIR = os.path.join(BASE_DIR, "static") | |
SAMPLES_DIR = os.path.join(STATIC_DIR, "samples") | |
MODELS_DIR = os.path.join(STATIC_DIR, "models") | |
# Ensure directories exist | |
Path(SAMPLES_DIR).mkdir(parents=True, exist_ok=True) | |
Path(MODELS_DIR).mkdir(parents=True, exist_ok=True) | |
class VoiceSynthesizer: | |
"""Simplified voice synthesis class without PyTorch dependencies""" | |
def __init__(self): | |
"""Initialize voice synthesizer""" | |
self.models = {} | |
self.default_model = "system_female" | |
logger.info("Initialized simplified voice synthesizer") | |
def load_settings(self): | |
"""Load voice settings from config""" | |
logger.info("Voice settings loading skipped in simplified mode") | |
def text_to_speech(self, text, model_id=None): | |
"""Simplified text-to-speech without actual audio generation""" | |
if not model_id: | |
model_id = self.default_model | |
# Generate a unique ID for the audio file | |
audio_id = generate_id('speech_') | |
output_path = os.path.join(SAMPLES_DIR, f"{audio_id}.txt") | |
try: | |
# Create directory if it doesn't exist | |
os.makedirs(os.path.dirname(output_path), exist_ok=True) | |
# Write text to file instead of audio | |
with open(output_path, 'w') as f: | |
f.write(f"TEXT: {text}\nMODEL: {model_id}\n") | |
logger.info(f"Generated speech text placeholder: {output_path}") | |
return output_path | |
except Exception as e: | |
error_msg = f"Failed to create speech placeholder: {str(e)}" | |
logger.error(error_msg) | |
return None | |
# Global instance | |
voice_synthesizer = VoiceSynthesizer() |