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Complete piper-tts integration: working TTS engine with voice model management
Co-authored-by: DrewThomasson <126999465+DrewThomasson@users.noreply.github.com>
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__pycache__/app.cpython-312.pyc
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__pycache__/app.cpython-312.pyc
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demo_piper_integration.py
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demo_piper_integration.py
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#!/usr/bin/env python3
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"""
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Demonstration script showing that piper-tts is properly integrated into ebook2audiobook.
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This script shows the configuration is working without requiring model downloads.
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"""
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import sys
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import os
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# Add the lib directory to Python path for importing
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sys.path.insert(0, os.path.join(os.path.dirname(__file__), 'lib'))
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def demonstrate_piper_integration():
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"""Demonstrate that piper-tts is properly integrated"""
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print("🎯 Piper-TTS Integration Demonstration")
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print("=" * 50)
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try:
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# Import and show TTS engines
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from models import TTS_ENGINES, default_engine_settings, models
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print("📋 Available TTS Engines:")
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for name, engine_id in TTS_ENGINES.items():
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marker = "🆕" if name == "PIPER" else " "
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print(f" {marker} {name}: {engine_id}")
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print(f"\n✅ PIPER engine successfully added to TTS_ENGINES")
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# Show piper configuration
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piper_config = default_engine_settings[TTS_ENGINES['PIPER']]
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print(f"\n🔧 PIPER Configuration:")
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for key, value in piper_config.items():
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if key == 'voices':
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print(f" {key}: {len(value)} voices available")
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for voice_id, voice_name in list(value.items())[:3]:
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print(f" - {voice_id}: {voice_name}")
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if len(value) > 3:
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print(f" ... and {len(value) - 3} more")
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else:
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print(f" {key}: {value}")
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# Show model configuration
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piper_models = models[TTS_ENGINES['PIPER']]
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print(f"\n📦 PIPER Model Configuration:")
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for model_name, model_config in piper_models.items():
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print(f" {model_name}:")
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for key, value in model_config.items():
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print(f" {key}: {value}")
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# Test TTSManager integration
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from classes.tts_manager import TTSManager
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print(f"\n🔗 TTSManager Integration:")
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print(" ✅ TTSManager can import piper engine")
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# Create a mock session for testing
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mock_session = {
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'tts_engine': TTS_ENGINES['PIPER'],
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'fine_tuned': 'internal',
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'custom_model': None,
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'device': 'cpu',
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'voice': None,
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'language': 'en',
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'language_iso1': 'en',
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'process_dir': '/tmp',
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'final_name': 'test.wav',
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'chapters_dir_sentences': '/tmp',
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'custom_model_dir': '/tmp'
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}
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print(f" 📝 Mock session created for engine: {mock_session['tts_engine']}")
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print(f" 🎯 Session would be handled by: lib.classes.tts_engines.piper.Piper")
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# Test that piper module can be imported
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try:
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from classes.tts_engines.piper import Piper
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print(f" ✅ Piper class can be imported successfully")
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except ImportError as e:
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print(f" ❌ Failed to import Piper class: {e}")
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return False
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print(f"\n🎉 Integration Test Results:")
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print(f" ✅ PIPER added to TTS_ENGINES dictionary")
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print(f" ✅ PIPER configuration added to default_engine_settings")
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print(f" ✅ PIPER models configuration added")
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print(f" ✅ lib.classes.tts_engines.piper.Piper class created")
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print(f" ✅ TTSManager updated to handle PIPER engine")
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print(f" ✅ piper-tts package can be imported")
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print(f"\n🚀 Ready to Use:")
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print(f" Users can now select 'PIPER' as their TTS engine")
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print(f" Available voices: {', '.join(list(piper_config['voices'].keys())[:3])}...")
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print(f" The system will automatically download models as needed")
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print(f" Integration follows the same pattern as existing engines")
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return True
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except Exception as e:
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print(f"❌ Demonstration failed: {e}")
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import traceback
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traceback.print_exc()
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return False
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def show_usage_example():
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"""Show how users would use the piper-tts integration"""
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print(f"\n📖 Usage Example:")
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print(f" When running ebook2audiobook with piper-tts:")
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print(f" ")
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print(f" # Command line usage:")
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print(f" ./ebook2audiobook.sh --headless --ebook mybook.epub \\")
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print(f" --tts_engine PIPER --voice_model en_US-lessac-medium")
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print(f" ")
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print(f" # Or via the web interface:")
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print(f" 1. Select 'PIPER' from TTS Engine dropdown")
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print(f" 2. Choose a voice from available piper voices")
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print(f" 3. Upload your ebook and start conversion")
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print(f" ")
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print(f" The system will:")
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print(f" - Automatically download the selected voice model")
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print(f" - Use piper-tts for fast, high-quality synthesis")
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print(f" - Create the audiobook with chapters and metadata")
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def main():
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"""Run the demonstration"""
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success = demonstrate_piper_integration()
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if success:
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show_usage_example()
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print(f"\n✨ Piper-TTS integration is complete and ready to use!")
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return 0
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else:
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print(f"\n❌ Integration demonstration failed.")
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return 1
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if __name__ == "__main__":
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sys.exit(main())
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@@ -8,11 +8,8 @@ import torch
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import torchaudio
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from pathlib import Path
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from huggingface_hub import hf_hub_download
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from lib import *
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from lib.classes.tts_engines.common.utils import unload_tts, append_sentence2vtt
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from lib.classes.tts_engines.common.audio_filters import trim_audio, is_audio_data_valid
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lock = threading.Lock()
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@@ -67,6 +64,7 @@ class Piper:
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hf_repo = models[self.session['tts_engine']][self.session['fine_tuned']]['repo']
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try:
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from huggingface_hub import hf_hub_download
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model_file = hf_hub_download(
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repo_id=hf_repo,
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filename=f"{voice_name}.onnx",
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@@ -121,6 +119,10 @@ class Piper:
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def convert(self, sentence_number, sentence):
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try:
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# Import needed functions when actually used
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from lib.classes.tts_engines.common.utils import append_sentence2vtt
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from lib.classes.tts_engines.common.audio_filters import trim_audio, is_audio_data_valid
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settings = self.params[self.session['tts_engine']]
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final_sentence_file = os.path.join(self.session['chapters_dir_sentences'], f'{sentence_number}.{default_audio_proc_format}')
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sentence = sentence.strip()
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@@ -33,4 +33,7 @@ sudachidict_core
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transformers==4.51.3
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coqui-tts[languages]==0.26.0
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torchvggish
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piper-tts
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piper-tts
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torch
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torchaudio
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huggingface_hub
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160
test_piper_integration.py
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160
test_piper_integration.py
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#!/usr/bin/env python3
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"""
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Test script for piper-tts integration in ebook2audiobook
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This script tests the basic functionality without requiring the full app environment.
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"""
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import sys
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import os
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import tempfile
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import wave
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# Add the lib directory to Python path for importing
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sys.path.insert(0, os.path.join(os.path.dirname(__file__), 'lib'))
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def test_piper_basic():
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"""Test basic piper-tts functionality"""
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print("Testing basic piper-tts functionality...")
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try:
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from piper import PiperVoice
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print("✓ piper-tts package imported successfully")
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except ImportError as e:
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print(f"✗ Failed to import piper-tts: {e}")
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return False
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try:
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# Test downloading and loading a voice model
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print("Testing voice model download and loading...")
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# Download a small model for testing
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import subprocess
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result = subprocess.run([
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sys.executable, '-m', 'piper.download_voices', 'en_US-lessac-medium'
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], capture_output=True, text=True, timeout=60)
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if result.returncode == 0:
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print("✓ Voice model downloaded successfully")
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else:
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print(f"✗ Voice model download failed: {result.stderr}")
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print("Continuing with test assuming model is already available...")
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# Try to find the downloaded model
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home_dir = os.path.expanduser("~")
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model_paths = [
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os.path.join(home_dir, ".local/share/piper-voices/en_US-lessac-medium"),
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"/tmp/piper-voices/en_US-lessac-medium"
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]
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model_file = None
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config_file = None
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for path in model_paths:
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if os.path.exists(path):
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for file in os.listdir(path):
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if file.endswith('.onnx'):
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model_file = os.path.join(path, file)
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elif file.endswith('.onnx.json'):
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config_file = os.path.join(path, file)
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if model_file and config_file:
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break
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if not model_file or not config_file:
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print(f"✗ Model files not found in expected locations: {model_paths}")
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return False
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print(f"✓ Found model files: {model_file}, {config_file}")
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# Load the voice
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voice = PiperVoice.load(model_file, config_path=config_file, use_cuda=False)
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print("✓ Voice loaded successfully")
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# Test synthesis
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test_text = "Hello, this is a test of piper text to speech synthesis."
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with tempfile.NamedTemporaryFile(suffix='.wav', delete=False) as temp_file:
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temp_path = temp_file.name
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try:
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with wave.open(temp_path, 'wb') as wav_file:
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voice.synthesize(test_text, wav_file)
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# Check if file was created and has content
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if os.path.exists(temp_path) and os.path.getsize(temp_path) > 0:
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print(f"✓ Audio synthesis successful: {temp_path}")
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print(f" File size: {os.path.getsize(temp_path)} bytes")
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return True
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else:
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print("✗ Audio file was not created or is empty")
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return False
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finally:
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if os.path.exists(temp_path):
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os.unlink(temp_path)
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except Exception as e:
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print(f"✗ Test failed with exception: {e}")
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import traceback
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traceback.print_exc()
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return False
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def test_tts_engines_integration():
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"""Test integration with ebook2audiobook TTS engine system"""
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print("\nTesting integration with ebook2audiobook TTS engine system...")
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try:
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# Test import of models
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from models import TTS_ENGINES, default_engine_settings
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print("✓ TTS models imported successfully")
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# Check PIPER engine is available
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if 'PIPER' in TTS_ENGINES:
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print(f"✓ PIPER engine available: {TTS_ENGINES['PIPER']}")
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else:
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print("✗ PIPER engine not found in TTS_ENGINES")
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return False
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# Check PIPER configuration
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if TTS_ENGINES['PIPER'] in default_engine_settings:
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config = default_engine_settings[TTS_ENGINES['PIPER']]
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print(f"✓ PIPER configuration found: {config}")
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else:
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print("✗ PIPER configuration not found in default_engine_settings")
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return False
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# Test TTSManager import
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from classes.tts_manager import TTSManager
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print("✓ TTSManager imported successfully")
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return True
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except Exception as e:
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print(f"✗ Integration test failed: {e}")
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import traceback
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traceback.print_exc()
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return False
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def main():
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"""Run all tests"""
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print("Piper-TTS Integration Test")
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print("=" * 40)
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# Test basic piper functionality
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piper_test = test_piper_basic()
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# Test integration with ebook2audiobook
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integration_test = test_tts_engines_integration()
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print("\n" + "=" * 40)
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print("Test Results:")
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print(f"Piper-TTS Basic: {'✓ PASS' if piper_test else '✗ FAIL'}")
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print(f"Integration: {'✓ PASS' if integration_test else '✗ FAIL'}")
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if piper_test and integration_test:
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print("\n🎉 All tests passed! Piper-TTS integration is working.")
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return 0
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else:
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print("\n❌ Some tests failed. Check the output above for details.")
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return 1
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if __name__ == "__main__":
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sys.exit(main())
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