Enable ONNX GPU support in Docker configurations and refactor model file handling

README.md

@@ -7,6 +7,9 @@
 [![Coverage](https://img.shields.io/badge/coverage-60%25-grey)]()
 [![Tested at Model Commit](https://img.shields.io/badge/last--tested--model--commit-a67f113-blue)](https://huggingface.co/hexgrad/Kokoro-82M/tree/c3b0d86e2a980e027ef71c28819ea02e351c2667) [![Try on Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Try%20on-Spaces-blue)](https://huggingface.co/spaces/Remsky/Kokoro-TTS-Zero)
 
+> [!INFO]
+> Pre-release. Not fully tested
+
 Dockerized FastAPI wrapper for [Kokoro-82M](https://huggingface.co/hexgrad/Kokoro-82M) text-to-speech model
 - OpenAI-compatible Speech endpoint, with inline voice combination functionality
 - NVIDIA GPU accelerated or CPU Onnx inference 

api/src/core/config.py

@@ -9,37 +9,22 @@ class Settings(BaseSettings):
     host: str = "0.0.0.0"
     port: int = 8880
 
-    # TTS Settings
+    # Application Settings
     output_dir: str = "output"
     output_dir_size_limit_mb: float = 500.0  # Maximum size of output directory in MB
     default_voice: str = "af"
     use_gpu: bool = False  # Whether to use GPU acceleration if available
     use_onnx: bool = True  # Whether to use ONNX runtime
+    
     # Container absolute paths
     model_dir: str = "/app/api/src/models"  # Absolute path in container
     voices_dir: str = "/app/api/src/voices"  # Absolute path in container
     
-    # Model filenames
+    # Audio Settings
-    pytorch_model_file: str = "kokoro-v0_19.pth"
-    onnx_model_file: str = "kokoro-v0_19.onnx"
     sample_rate: int = 24000
     max_chunk_size: int = 300  # Maximum size of text chunks for processing
     gap_trim_ms: int = 250  # Amount to trim from streaming chunk ends in milliseconds
 
-    # ONNX Optimization Settings
-    onnx_num_threads: int = 4  # Number of threads for intra-op parallelism
-    onnx_inter_op_threads: int = 4  # Number of threads for inter-op parallelism
-    onnx_execution_mode: str = "parallel"  # parallel or sequential
-    onnx_optimization_level: str = "all"  # all, basic, or disabled
-    onnx_memory_pattern: bool = True  # Enable memory pattern optimization
-    onnx_arena_extend_strategy: str = "kNextPowerOfTwo"  # Memory allocation strategy
-    
-    # ONNX GPU Settings
-    onnx_device_id: int = 0  # GPU device ID to use
-    onnx_gpu_mem_limit: float = 0.7  # Limit GPU memory usage to 70%
-    onnx_cudnn_conv_algo_search: str = "EXHAUSTIVE"  # CUDNN convolution algorithm search
-    onnx_do_copy_in_default_stream: bool = True  # Copy in default CUDA stream
-
     class Config:
         env_file = ".env"
 

api/src/core/model_config.py

@@ -11,7 +11,7 @@ class ONNXCPUConfig(BaseModel):
     instance_timeout: int = Field(300, description="Session timeout in seconds")
     
     # Runtime settings
-    num_threads: int = Field(8, description="Number of threads for parallel operations")
+    num_threads: int = Field(4, description="Number of threads for parallel operations")
     inter_op_threads: int = Field(4, description="Number of threads for operator parallelism")
     execution_mode: str = Field("parallel", description="ONNX execution mode")
     optimization_level: str = Field("all", description="ONNX optimization level")
@@ -77,6 +77,10 @@ class ModelConfig(BaseModel):
     cache_voices: bool = Field(True, description="Whether to cache voice tensors")
     voice_cache_size: int = Field(2, description="Maximum number of cached voices")
     
+    # Model filenames
+    pytorch_model_file: str = Field("kokoro-v0_19.pth", description="PyTorch model filename")
+    onnx_model_file: str = Field("kokoro-v0_19.onnx", description="ONNX model filename")
+    
     # Backend-specific configs
     onnx_cpu: ONNXCPUConfig = Field(default_factory=ONNXCPUConfig)
     onnx_gpu: ONNXGPUConfig = Field(default_factory=ONNXGPUConfig)

api/src/inference/model_manager.py

@@ -17,26 +17,27 @@ from .pytorch_gpu import PyTorchGPUBackend
 from .session_pool import CPUSessionPool, StreamingSessionPool
 
 
-# Global singleton instance and state
+# Global singleton instance and lock for thread-safe initialization
 _manager_instance = None
 _manager_lock = asyncio.Lock()
-_loaded_models = {}
-_backends = {}
-
 
 class ModelManager:
     """Manages model loading and inference across backends."""
     
+    # Class-level state for shared resources
+    _loaded_models = {}
+    _backends = {}
+    
     def __init__(self, config: Optional[ModelConfig] = None):
         """Initialize model manager.
         
         Args:
             config: Optional configuration
+            
+        Note:
+            This should not be called directly. Use get_manager() instead.
         """
         self._config = config or model_config
-        global _loaded_models, _backends
-        self._loaded_models = _loaded_models
-        self._backends = _backends
         
         # Initialize session pools
         self._session_pools = {
@@ -293,10 +294,20 @@ async def get_manager(config: Optional[ModelConfig] = None) -> ModelManager:
         
     Returns:
         ModelManager instance
+        
+    Thread Safety:
+        This function is thread-safe and ensures only one instance is created
+        even under concurrent access.
     """
     global _manager_instance
     
+    # Fast path - return existing instance without lock
+    if _manager_instance is not None:
+        return _manager_instance
+        
+    # Slow path - create new instance with lock
     async with _manager_lock:
+        # Double-check pattern
         if _manager_instance is None:
             _manager_instance = ModelManager(config)
             await _manager_instance.initialize()

api/src/inference/session_pool.py

@@ -75,20 +75,16 @@ def create_provider_options(is_gpu: bool = False) -> Dict:
     if is_gpu:
         config = model_config.onnx_gpu
         return {
-            "CUDAExecutionProvider": {
+            "device_id": config.device_id,
-                "device_id": config.device_id,
+            "arena_extend_strategy": config.arena_extend_strategy,
-                "arena_extend_strategy": config.arena_extend_strategy,
+            "gpu_mem_limit": int(config.gpu_mem_limit * torch.cuda.get_device_properties(0).total_memory),
-                "gpu_mem_limit": int(config.gpu_mem_limit * torch.cuda.get_device_properties(0).total_memory),
+            "cudnn_conv_algo_search": config.cudnn_conv_algo_search,
-                "cudnn_conv_algo_search": config.cudnn_conv_algo_search,
+            "do_copy_in_default_stream": config.do_copy_in_default_stream
-                "do_copy_in_default_stream": config.do_copy_in_default_stream
-            }
         }
     else:
         return {
-            "CPUExecutionProvider": {
+            "arena_extend_strategy": model_config.onnx_cpu.arena_extend_strategy,
-                "arena_extend_strategy": model_config.onnx_cpu.arena_extend_strategy,
+            "cpu_memory_arena_cfg": "cpu:0"
-                "cpu_memory_arena_cfg": "cpu:0"
-            }
         }
 
 

api/src/inference/voice_manager.py

@@ -73,12 +73,13 @@ class VoiceManager:
         return voice
 
     def _manage_cache(self) -> None:
-        """Manage voice cache size."""
+        """Manage voice cache size using simple LRU."""
         if len(self._voice_cache) >= self._config.cache_size:
-            # Remove oldest voice
+            # Remove least recently used voice
             oldest = next(iter(self._voice_cache))
             del self._voice_cache[oldest]
-            logger.debug(f"Removed from voice cache: {oldest}")
+            torch.cuda.empty_cache()  # Clean up GPU memory if needed
+            logger.debug(f"Removed LRU voice from cache: {oldest}")
 
     async def combine_voices(self, voices: List[str], device: str = "cpu") -> str:
         """Combine multiple voices into a new voice.

api/src/main.py

@@ -1,4 +1,3 @@
-
 """
 FastAPI OpenAI Compatible API
 """
@@ -14,6 +13,7 @@ from fastapi.middleware.cors import CORSMiddleware
 from loguru import logger
 
 from .core.config import settings
+from .core.model_config import model_config
 from .routers.development import router as dev_router
 from .routers.openai_compatible import router as openai_router
 from .services.tts_service import TTSService
@@ -63,8 +63,8 @@ async def lifespan(app: FastAPI):
         # Get backend and initialize model
         backend = model_manager.get_backend(backend_type)
         
-        # Use model path directly from settings
+        # Use model path from model_config
-        model_file = settings.pytorch_model_file if not settings.use_onnx else settings.onnx_model_file
+        model_file = model_config.pytorch_model_file if not settings.use_onnx else model_config.onnx_model_file
         model_path = os.path.join(settings.model_dir, model_file)
         
         

api/src/routers/openai_compatible.py

@@ -130,12 +130,12 @@ async def create_speech(
                 },
             )
         else:
-            # Generate complete audio
+            # Generate complete audio using public interface
-            audio, _ = tts_service._generate_audio(
+            audio, _ = await tts_service.generate_audio(
                 text=request.input,
                 voice=voice_to_use,
                 speed=request.speed,
-                stitch_long_output=True,
+                stitch_long_output=True
             )
 
             # Convert to requested format
@@ -153,14 +153,37 @@ async def create_speech(
             )
 
     except ValueError as e:
-        logger.error(f"Invalid request: {str(e)}")
+        # Handle validation errors
+        logger.warning(f"Invalid request: {str(e)}")
         raise HTTPException(
-            status_code=400, detail={"error": "Invalid request", "message": str(e)}
+            status_code=400,
+            detail={
+                "error": "validation_error",
+                "message": str(e),
+                "type": "invalid_request_error"
+            }
+        )
+    except RuntimeError as e:
+        # Handle runtime/processing errors
+        logger.error(f"Processing error: {str(e)}")
+        raise HTTPException(
+            status_code=500,
+            detail={
+                "error": "processing_error",
+                "message": "Failed to process audio generation request",
+                "type": "server_error"
+            }
         )
     except Exception as e:
-        logger.error(f"Error generating speech: {str(e)}")
+        # Handle unexpected errors
+        logger.error(f"Unexpected error in speech generation: {str(e)}")
         raise HTTPException(
-            status_code=500, detail={"error": "Server error", "message": str(e)}
+            status_code=500,
+            detail={
+                "error": "server_error",
+                "message": "An unexpected error occurred",
+                "type": "server_error"
+            }
         )
 
 
@@ -173,7 +196,14 @@ async def list_voices():
         return {"voices": voices}
     except Exception as e:
         logger.error(f"Error listing voices: {str(e)}")
-        raise HTTPException(status_code=500, detail=str(e))
+        raise HTTPException(
+            status_code=500,
+            detail={
+                "error": "server_error",
+                "message": "Failed to retrieve voice list",
+                "type": "server_error"
+            }
+        )
 
 
 @router.post("/audio/voices/combine")
@@ -199,13 +229,32 @@ async def combine_voices(request: Union[str, List[str]]):
         return {"voices": voices, "voice": combined_voice}
 
     except ValueError as e:
-        logger.error(f"Invalid voice combination request: {str(e)}")
+        logger.warning(f"Invalid voice combination request: {str(e)}")
         raise HTTPException(
-            status_code=400, detail={"error": "Invalid request", "message": str(e)}
+            status_code=400,
+            detail={
+                "error": "validation_error",
+                "message": str(e),
+                "type": "invalid_request_error"
+            }
+        )
+    except RuntimeError as e:
+        logger.error(f"Voice combination processing error: {str(e)}")
+        raise HTTPException(
+            status_code=500,
+            detail={
+                "error": "processing_error",
+                "message": "Failed to process voice combination request",
+                "type": "server_error"
+            }
         )
-
     except Exception as e:
-        logger.error(f"Server error during voice combination: {str(e)}")
+        logger.error(f"Unexpected error in voice combination: {str(e)}")
         raise HTTPException(
-            status_code=500, detail={"error": "Server error", "message": "Server error"}
+            status_code=500,
+            detail={
+                "error": "server_error",
+                "message": "An unexpected error occurred",
+                "type": "server_error"
+            }
         )

api/src/services/tts_service.py

@@ -51,7 +51,7 @@ class TTSService:
         return service
 
     async def generate_audio(
-        self, text: str, voice: str, speed: float = 1.0
+        self, text: str, voice: str, speed: float = 1.0, stitch_long_output: bool = True
     ) -> Tuple[np.ndarray, float]:
         """Generate audio for text.
         
@@ -59,9 +59,14 @@ class TTSService:
             text: Input text
             voice: Voice name
             speed: Speed multiplier
+            stitch_long_output: Whether to stitch together long outputs
             
         Returns:
             Audio samples and processing time
+            
+        Raises:
+            ValueError: If text is empty after preprocessing or no chunks generated
+            RuntimeError: If audio generation fails
         """
         start_time = time.time()
         voice_tensor = None

docker/cpu/Dockerfile

@@ -10,7 +10,7 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
     && apt-get clean \
     && rm -rf /var/lib/apt/lists/*
 
-# Install uv
+# Install uv for speed and glory
 COPY --from=ghcr.io/astral-sh/uv:latest /uv /uvx /bin/
 
 # Create non-root user
@@ -44,6 +44,7 @@ ENV PYTHONPATH=/app
 ENV PATH="/app/.venv/bin:$PATH"
 ENV UV_LINK_MODE=copy
 ENV USE_GPU=false
+ENV USE_ONNX=true
 
 # Run FastAPI server
 CMD ["uv", "run", "python", "-m", "uvicorn", "api.src.main:app", "--host", "0.0.0.0", "--port", "8880", "--log-level", "debug"]

docker/cpu/pyproject.toml

@@ -1,22 +0,0 @@
-[project]
-name = "kokoro-fastapi-cpu"
-version = "0.1.0"
-description = "FastAPI TTS Service - CPU Version"
-readme = "../README.md"
-requires-python = ">=3.10"
-dependencies = [
-    # Core ML/DL for CPU
-    "torch>=2.5.1",
-    "transformers==4.47.1",
-]
-
-[tool.uv.workspace]
-members = ["../shared"]
-
-[tool.uv.sources]
-torch = { index = "pytorch-cpu" }
-
-[[tool.uv.index]]
-name = "pytorch-cpu"
-url = "https://download.pytorch.org/whl/cpu"
-explicit = true

docker/cpu/requirements.lock

@@ -1,229 +0,0 @@
-# This file was autogenerated by uv via the following command:
-#    uv pip compile pyproject.toml ../shared/pyproject.toml --output-file requirements.lock
-aiofiles==23.2.1
-    # via kokoro-fastapi (../shared/pyproject.toml)
-annotated-types==0.7.0
-    # via pydantic
-anyio==4.8.0
-    # via starlette
-attrs==24.3.0
-    # via
-    #   clldutils
-    #   csvw
-    #   jsonschema
-    #   phonemizer
-    #   referencing
-babel==2.16.0
-    # via csvw
-certifi==2024.12.14
-    # via requests
-cffi==1.17.1
-    # via soundfile
-charset-normalizer==3.4.1
-    # via requests
-click==8.1.8
-    # via
-    #   kokoro-fastapi (../shared/pyproject.toml)
-    #   uvicorn
-clldutils==3.21.0
-    # via segments
-colorama==0.4.6
-    # via
-    #   click
-    #   colorlog
-    #   csvw
-    #   loguru
-    #   tqdm
-coloredlogs==15.0.1
-    # via onnxruntime
-colorlog==6.9.0
-    # via clldutils
-csvw==3.5.1
-    # via segments
-dlinfo==1.2.1
-    # via phonemizer
-exceptiongroup==1.2.2
-    # via anyio
-fastapi==0.115.6
-    # via kokoro-fastapi (../shared/pyproject.toml)
-filelock==3.16.1
-    # via
-    #   huggingface-hub
-    #   torch
-    #   transformers
-flatbuffers==24.12.23
-    # via onnxruntime
-fsspec==2024.12.0
-    # via
-    #   huggingface-hub
-    #   torch
-greenlet==3.1.1
-    # via sqlalchemy
-h11==0.14.0
-    # via uvicorn
-huggingface-hub==0.27.1
-    # via
-    #   tokenizers
-    #   transformers
-humanfriendly==10.0
-    # via coloredlogs
-idna==3.10
-    # via
-    #   anyio
-    #   requests
-isodate==0.7.2
-    # via
-    #   csvw
-    #   rdflib
-jinja2==3.1.5
-    # via torch
-joblib==1.4.2
-    # via phonemizer
-jsonschema==4.23.0
-    # via csvw
-jsonschema-specifications==2024.10.1
-    # via jsonschema
-language-tags==1.2.0
-    # via csvw
-loguru==0.7.3
-    # via kokoro-fastapi (../shared/pyproject.toml)
-lxml==5.3.0
-    # via clldutils
-markdown==3.7
-    # via clldutils
-markupsafe==3.0.2
-    # via
-    #   clldutils
-    #   jinja2
-mpmath==1.3.0
-    # via sympy
-munch==4.0.0
-    # via kokoro-fastapi (../shared/pyproject.toml)
-networkx==3.4.2
-    # via torch
-numpy==2.2.1
-    # via
-    #   kokoro-fastapi (../shared/pyproject.toml)
-    #   onnxruntime
-    #   scipy
-    #   soundfile
-    #   transformers
-onnxruntime==1.20.1
-    # via kokoro-fastapi (../shared/pyproject.toml)
-packaging==24.2
-    # via
-    #   huggingface-hub
-    #   onnxruntime
-    #   transformers
-phonemizer==3.3.0
-    # via kokoro-fastapi (../shared/pyproject.toml)
-protobuf==5.29.3
-    # via onnxruntime
-pycparser==2.22
-    # via cffi
-pydantic==2.10.4
-    # via
-    #   kokoro-fastapi (../shared/pyproject.toml)
-    #   fastapi
-    #   pydantic-settings
-pydantic-core==2.27.2
-    # via pydantic
-pydantic-settings==2.7.0
-    # via kokoro-fastapi (../shared/pyproject.toml)
-pylatexenc==2.10
-    # via clldutils
-pyparsing==3.2.1
-    # via rdflib
-pyreadline3==3.5.4
-    # via humanfriendly
-python-dateutil==2.9.0.post0
-    # via
-    #   clldutils
-    #   csvw
-python-dotenv==1.0.1
-    # via
-    #   kokoro-fastapi (../shared/pyproject.toml)
-    #   pydantic-settings
-pyyaml==6.0.2
-    # via
-    #   huggingface-hub
-    #   transformers
-rdflib==7.1.2
-    # via csvw
-referencing==0.35.1
-    # via
-    #   jsonschema
-    #   jsonschema-specifications
-regex==2024.11.6
-    # via
-    #   kokoro-fastapi (../shared/pyproject.toml)
-    #   segments
-    #   tiktoken
-    #   transformers
-requests==2.32.3
-    # via
-    #   kokoro-fastapi (../shared/pyproject.toml)
-    #   csvw
-    #   huggingface-hub
-    #   tiktoken
-    #   transformers
-rfc3986==1.5.0
-    # via csvw
-rpds-py==0.22.3
-    # via
-    #   jsonschema
-    #   referencing
-safetensors==0.5.2
-    # via transformers
-scipy==1.14.1
-    # via kokoro-fastapi (../shared/pyproject.toml)
-segments==2.2.1
-    # via phonemizer
-six==1.17.0
-    # via python-dateutil
-sniffio==1.3.1
-    # via anyio
-soundfile==0.13.0
-    # via kokoro-fastapi (../shared/pyproject.toml)
-sqlalchemy==2.0.27
-    # via kokoro-fastapi (../shared/pyproject.toml)
-starlette==0.41.3
-    # via fastapi
-sympy==1.13.1
-    # via
-    #   onnxruntime
-    #   torch
-tabulate==0.9.0
-    # via clldutils
-tiktoken==0.8.0
-    # via kokoro-fastapi (../shared/pyproject.toml)
-tokenizers==0.21.0
-    # via transformers
-torch==2.5.1+cpu
-    # via kokoro-fastapi-cpu (pyproject.toml)
-tqdm==4.67.1
-    # via
-    #   kokoro-fastapi (../shared/pyproject.toml)
-    #   huggingface-hub
-    #   transformers
-transformers==4.47.1
-    # via kokoro-fastapi-cpu (pyproject.toml)
-typing-extensions==4.12.2
-    # via
-    #   anyio
-    #   fastapi
-    #   huggingface-hub
-    #   phonemizer
-    #   pydantic
-    #   pydantic-core
-    #   sqlalchemy
-    #   torch
-    #   uvicorn
-uritemplate==4.1.1
-    # via csvw
-urllib3==2.3.0
-    # via requests
-uvicorn==0.34.0
-    # via kokoro-fastapi (../shared/pyproject.toml)
-win32-setctime==1.2.0
-    # via loguru

docker/gpu/Dockerfile

@@ -1,8 +1,11 @@
-FROM pytorch/pytorch:2.1.0-cuda11.8-cudnn8-runtime
+FROM nvidia/cuda:12.3.2-cudnn9-runtime-ubuntu22.04
 # Set non-interactive frontend
 ENV DEBIAN_FRONTEND=noninteractive
-# Install dependencies
+
+# Install Python and other dependencies
 RUN apt-get update && apt-get install -y --no-install-recommends \
+    python3.10 \
+    python3.10-venv \
     espeak-ng \
     git \
     libsndfile1 \
@@ -27,15 +30,15 @@ WORKDIR /app
 # Copy dependency files
 COPY --chown=appuser:appuser pyproject.toml ./pyproject.toml
 
-# Install dependencies
+# Install dependencies with GPU extras
 RUN --mount=type=cache,target=/root/.cache/uv \
     uv venv && \
-    uv sync --extra gpu --no-install-project
+    uv sync --extra gpu
 
 # Copy project files
 COPY --chown=appuser:appuser api ./api
 
-# Install project
+# Install project with GPU extras
 RUN --mount=type=cache,target=/root/.cache/uv \
     uv sync --extra gpu
 

docker/gpu/pyproject.toml

@@ -1,22 +0,0 @@
-[project]
-name = "kokoro-fastapi-gpu"
-version = "0.1.0"
-description = "FastAPI TTS Service - GPU Version"
-readme = "../README.md"
-requires-python = ">=3.10"
-dependencies = [
-    # Core ML/DL for GPU
-    "torch==2.5.1+cu121",
-    "transformers==4.47.1",
-]
-
-[tool.uv.workspace]
-members = ["../shared"]
-
-[tool.uv.sources]
-torch = { index = "pytorch-cuda" }
-
-[[tool.uv.index]]
-name = "pytorch-cuda"
-url = "https://download.pytorch.org/whl/cu121"
-explicit = true

docker/gpu/requirements.lock

@@ -1,229 +0,0 @@
-# This file was autogenerated by uv via the following command:
-#    uv pip compile pyproject.toml ../shared/pyproject.toml --output-file requirements.lock
-aiofiles==23.2.1
-    # via kokoro-fastapi (../shared/pyproject.toml)
-annotated-types==0.7.0
-    # via pydantic
-anyio==4.8.0
-    # via starlette
-attrs==24.3.0
-    # via
-    #   clldutils
-    #   csvw
-    #   jsonschema
-    #   phonemizer
-    #   referencing
-babel==2.16.0
-    # via csvw
-certifi==2024.12.14
-    # via requests
-cffi==1.17.1
-    # via soundfile
-charset-normalizer==3.4.1
-    # via requests
-click==8.1.8
-    # via
-    #   kokoro-fastapi (../shared/pyproject.toml)
-    #   uvicorn
-clldutils==3.21.0
-    # via segments
-colorama==0.4.6
-    # via
-    #   click
-    #   colorlog
-    #   csvw
-    #   loguru
-    #   tqdm
-coloredlogs==15.0.1
-    # via onnxruntime
-colorlog==6.9.0
-    # via clldutils
-csvw==3.5.1
-    # via segments
-dlinfo==1.2.1
-    # via phonemizer
-exceptiongroup==1.2.2
-    # via anyio
-fastapi==0.115.6
-    # via kokoro-fastapi (../shared/pyproject.toml)
-filelock==3.16.1
-    # via
-    #   huggingface-hub
-    #   torch
-    #   transformers
-flatbuffers==24.12.23
-    # via onnxruntime
-fsspec==2024.12.0
-    # via
-    #   huggingface-hub
-    #   torch
-greenlet==3.1.1
-    # via sqlalchemy
-h11==0.14.0
-    # via uvicorn
-huggingface-hub==0.27.1
-    # via
-    #   tokenizers
-    #   transformers
-humanfriendly==10.0
-    # via coloredlogs
-idna==3.10
-    # via
-    #   anyio
-    #   requests
-isodate==0.7.2
-    # via
-    #   csvw
-    #   rdflib
-jinja2==3.1.5
-    # via torch
-joblib==1.4.2
-    # via phonemizer
-jsonschema==4.23.0
-    # via csvw
-jsonschema-specifications==2024.10.1
-    # via jsonschema
-language-tags==1.2.0
-    # via csvw
-loguru==0.7.3
-    # via kokoro-fastapi (../shared/pyproject.toml)
-lxml==5.3.0
-    # via clldutils
-markdown==3.7
-    # via clldutils
-markupsafe==3.0.2
-    # via
-    #   clldutils
-    #   jinja2
-mpmath==1.3.0
-    # via sympy
-munch==4.0.0
-    # via kokoro-fastapi (../shared/pyproject.toml)
-networkx==3.4.2
-    # via torch
-numpy==2.2.1
-    # via
-    #   kokoro-fastapi (../shared/pyproject.toml)
-    #   onnxruntime
-    #   scipy
-    #   soundfile
-    #   transformers
-onnxruntime==1.20.1
-    # via kokoro-fastapi (../shared/pyproject.toml)
-packaging==24.2
-    # via
-    #   huggingface-hub
-    #   onnxruntime
-    #   transformers
-phonemizer==3.3.0
-    # via kokoro-fastapi (../shared/pyproject.toml)
-protobuf==5.29.3
-    # via onnxruntime
-pycparser==2.22
-    # via cffi
-pydantic==2.10.4
-    # via
-    #   kokoro-fastapi (../shared/pyproject.toml)
-    #   fastapi
-    #   pydantic-settings
-pydantic-core==2.27.2
-    # via pydantic
-pydantic-settings==2.7.0
-    # via kokoro-fastapi (../shared/pyproject.toml)
-pylatexenc==2.10
-    # via clldutils
-pyparsing==3.2.1
-    # via rdflib
-pyreadline3==3.5.4
-    # via humanfriendly
-python-dateutil==2.9.0.post0
-    # via
-    #   clldutils
-    #   csvw
-python-dotenv==1.0.1
-    # via
-    #   kokoro-fastapi (../shared/pyproject.toml)
-    #   pydantic-settings
-pyyaml==6.0.2
-    # via
-    #   huggingface-hub
-    #   transformers
-rdflib==7.1.2
-    # via csvw
-referencing==0.35.1
-    # via
-    #   jsonschema
-    #   jsonschema-specifications
-regex==2024.11.6
-    # via
-    #   kokoro-fastapi (../shared/pyproject.toml)
-    #   segments
-    #   tiktoken
-    #   transformers
-requests==2.32.3
-    # via
-    #   kokoro-fastapi (../shared/pyproject.toml)
-    #   csvw
-    #   huggingface-hub
-    #   tiktoken
-    #   transformers
-rfc3986==1.5.0
-    # via csvw
-rpds-py==0.22.3
-    # via
-    #   jsonschema
-    #   referencing
-safetensors==0.5.2
-    # via transformers
-scipy==1.14.1
-    # via kokoro-fastapi (../shared/pyproject.toml)
-segments==2.2.1
-    # via phonemizer
-six==1.17.0
-    # via python-dateutil
-sniffio==1.3.1
-    # via anyio
-soundfile==0.13.0
-    # via kokoro-fastapi (../shared/pyproject.toml)
-sqlalchemy==2.0.27
-    # via kokoro-fastapi (../shared/pyproject.toml)
-starlette==0.41.3
-    # via fastapi
-sympy==1.13.1
-    # via
-    #   onnxruntime
-    #   torch
-tabulate==0.9.0
-    # via clldutils
-tiktoken==0.8.0
-    # via kokoro-fastapi (../shared/pyproject.toml)
-tokenizers==0.21.0
-    # via transformers
-torch==2.5.1+cu121
-    # via kokoro-fastapi-gpu (pyproject.toml)
-tqdm==4.67.1
-    # via
-    #   kokoro-fastapi (../shared/pyproject.toml)
-    #   huggingface-hub
-    #   transformers
-transformers==4.47.1
-    # via kokoro-fastapi-gpu (pyproject.toml)
-typing-extensions==4.12.2
-    # via
-    #   anyio
-    #   fastapi
-    #   huggingface-hub
-    #   phonemizer
-    #   pydantic
-    #   pydantic-core
-    #   sqlalchemy
-    #   torch
-    #   uvicorn
-uritemplate==4.1.1
-    # via csvw
-urllib3==2.3.0
-    # via requests
-uvicorn==0.34.0
-    # via kokoro-fastapi (../shared/pyproject.toml)
-win32-setctime==1.2.0
-    # via loguru

pyproject.toml

@@ -16,7 +16,6 @@ dependencies = [
     # ML/DL Base
     "numpy>=1.26.0",
     "scipy==1.14.1",
-    "onnxruntime==1.20.1",
     # Audio processing
     "soundfile==0.13.0",
     # Text processing
@@ -39,9 +38,11 @@ dependencies = [
 [project.optional-dependencies]
 gpu = [
     "torch==2.5.1+cu121",
+    "onnxruntime-gpu==1.20.1",
 ]
 cpu = [
     "torch==2.5.1",
+    "onnxruntime==1.20.1",
 ]
 test = [
     "pytest==8.0.0",