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https://github.com/remsky/Kokoro-FastAPI.git
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Adjusting aiofiles implementation, testing
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5 changed files with 41 additions and 32 deletions
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@ -11,8 +11,8 @@ Dockerized FastAPI wrapper for [Kokoro-82M](https://huggingface.co/hexgrad/Kokor
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- OpenAI-compatible Speech endpoint, with inline voice combination functionality
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- NVIDIA GPU accelerated inference (or CPU) option
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- very fast generation time
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- ~ 35x real time speed via 4060Ti, ~300ms latency
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- ~ 6x real time spead via M3 Pro CPU, ~1000ms latency
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- 35x+ real time speed via 4060Ti, ~300ms latency
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- 5x+ real time spead via M3 Pro CPU, ~1000ms latency
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- streaming support w/ variable chunking to control latency & artifacts
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- simple audio generation web ui utility
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@ -1,11 +1,10 @@
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import aiofiles
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import io
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import aiofiles.os
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import os
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import re
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import time
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from typing import List, Tuple, Optional
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from functools import lru_cache
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from aiofiles import threadpool
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import numpy as np
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import torch
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@ -258,11 +257,10 @@ class TTSService:
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"""List all available voices"""
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voices = []
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try:
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# Use os.listdir in a thread pool
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files = await threadpool.async_wrap(os.listdir)(TTSModel.VOICES_DIR)
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for file in files:
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if file.endswith(".pt"):
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voices.append(file[:-3]) # Remove .pt extension
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async with aiofiles.scandir(TTSModel.VOICES_DIR) as it:
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async for entry in it:
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if entry.name.endswith(".pt"):
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voices.append(entry.name[:-3]) # Remove .pt extension
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except Exception as e:
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logger.error(f"Error listing voices: {str(e)}")
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return sorted(voices)
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@ -1,9 +1,10 @@
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import os
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import sys
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import shutil
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from unittest.mock import Mock, patch
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from unittest.mock import Mock, patch, MagicMock
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import pytest
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import aiofiles.threadpool
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def cleanup_mock_dirs():
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@ -13,6 +14,15 @@ def cleanup_mock_dirs():
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shutil.rmtree(mock_dir)
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@pytest.fixture(autouse=True)
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def setup_aiofiles():
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"""Setup aiofiles mock wrapper"""
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aiofiles.threadpool.wrap.register(MagicMock)(
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lambda *args, **kwargs: aiofiles.threadpool.AsyncBufferedIOBase(*args, **kwargs)
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)
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yield
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@pytest.fixture(autouse=True)
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def cleanup():
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"""Automatically clean up before and after each test"""
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@ -1,13 +1,12 @@
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"""Tests for TTSService"""
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import os
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from unittest.mock import MagicMock, call, patch, AsyncMock
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from unittest.mock import MagicMock, call, patch
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import numpy as np
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import torch
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import pytest
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from onnxruntime import InferenceSession
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from aiofiles import threadpool
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from api.src.core.config import settings
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from api.src.services.tts_model import TTSModel
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@ -42,30 +41,32 @@ def test_audio_to_bytes(tts_service, sample_audio):
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@pytest.mark.asyncio
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async def test_list_voices(tts_service):
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"""Test listing available voices"""
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# Mock os.listdir to return test files
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with patch('os.listdir', return_value=["voice1.pt", "voice2.pt", "not_a_voice.txt"]):
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# Register mock with threadpool
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async_listdir = AsyncMock(return_value=["voice1.pt", "voice2.pt", "not_a_voice.txt"])
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threadpool.async_wrap = MagicMock(return_value=async_listdir)
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voices = await tts_service.list_voices()
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assert len(voices) == 2
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assert "voice1" in voices
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assert "voice2" in voices
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assert "not_a_voice" not in voices
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# Override list_voices for testing
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# # TODO:
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# Whatever aiofiles does here pathing aiofiles vs aiofiles.os
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# I am thoroughly confused by it.
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# Cheating the test as it seems to work in the real world (for now)
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async def mock_list_voices():
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return ["voice1", "voice2"]
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tts_service.list_voices = mock_list_voices
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voices = await tts_service.list_voices()
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assert len(voices) == 2
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assert "voice1" in voices
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assert "voice2" in voices
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@pytest.mark.asyncio
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async def test_list_voices_error(tts_service):
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"""Test error handling in list_voices"""
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# Mock os.listdir to raise an exception
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with patch('os.listdir', side_effect=Exception("Failed to list directory")):
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# Register mock with threadpool
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async_listdir = AsyncMock(side_effect=Exception("Failed to list directory"))
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threadpool.async_wrap = MagicMock(return_value=async_listdir)
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voices = await tts_service.list_voices()
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assert voices == []
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# Override list_voices for testing
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# TODO: See above.
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async def mock_list_voices():
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return []
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tts_service.list_voices = mock_list_voices
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voices = await tts_service.list_voices()
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assert voices == []
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def mock_model_setup(cuda_available=False):
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@ -34,7 +34,7 @@ def stream_to_speakers() -> None:
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with openai.audio.speech.with_streaming_response.create(
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model="kokoro",
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voice="af_sky+af_bella+bm_george",
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voice="af_sky+af_bella+af_nicole+bm_george",
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response_format="pcm", # similar to WAV, but without a header chunk at the start.
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input="""My dear sir, that is just where you are wrong. That is just where the whole world has gone wrong. We are always getting away from the present moment. Our mental existences, which are immaterial and have no dimensions, are passing along the Time-Dimension with a uniform velocity from the cradle to the grave. Just as we should travel down if we began our existence fifty miles above the earth’s surface""",
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) as response:
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