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feat(tts): Add Kokoro backend (mudler#4616)
* feat(kokoro): Add new TTS backend Signed-off-by: Ettore Di Giacinto <[email protected]> * Add kokoro to images Signed-off-by: Ettore Di Giacinto <[email protected]> * Support combined voices Signed-off-by: Ettore Di Giacinto <[email protected]> * Ignore pt and onnx Signed-off-by: Ettore Di Giacinto <[email protected]> * Add plbert and istfnet Signed-off-by: Ettore Di Giacinto <[email protected]> --------- Signed-off-by: Ettore Di Giacinto <[email protected]>
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| .DEFAULT_GOAL := install | ||
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| .PHONY: install | ||
| install: | ||
| bash install.sh | ||
| $(MAKE) protogen | ||
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| .PHONY: protogen | ||
| protogen: backend_pb2_grpc.py backend_pb2.py | ||
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| .PHONY: protogen-clean | ||
| protogen-clean: | ||
| $(RM) backend_pb2_grpc.py backend_pb2.py | ||
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| backend_pb2_grpc.py backend_pb2.py: | ||
| bash protogen.sh | ||
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| .PHONY: clean | ||
| clean: protogen-clean | ||
| rm -rf venv __pycache__ |
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| #!/usr/bin/env python3 | ||
| """ | ||
| Extra gRPC server for Kokoro models. | ||
| """ | ||
| from concurrent import futures | ||
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| import argparse | ||
| import signal | ||
| import sys | ||
| import os | ||
| import time | ||
| import backend_pb2 | ||
| import backend_pb2_grpc | ||
| import soundfile as sf | ||
| import grpc | ||
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| from models import build_model | ||
| from kokoro import generate | ||
| import torch | ||
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| SAMPLE_RATE = 22050 | ||
| _ONE_DAY_IN_SECONDS = 60 * 60 * 24 | ||
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| # If MAX_WORKERS are specified in the environment use it, otherwise default to 1 | ||
| MAX_WORKERS = int(os.environ.get('PYTHON_GRPC_MAX_WORKERS', '1')) | ||
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| # Implement the BackendServicer class with the service methods | ||
| class BackendServicer(backend_pb2_grpc.BackendServicer): | ||
| """ | ||
| A gRPC servicer for the backend service. | ||
| This class implements the gRPC methods for the backend service, including Health, LoadModel, and Embedding. | ||
| """ | ||
| def Health(self, request, context): | ||
| """ | ||
| A gRPC method that returns the health status of the backend service. | ||
| Args: | ||
| request: A HealthRequest object that contains the request parameters. | ||
| context: A grpc.ServicerContext object that provides information about the RPC. | ||
| Returns: | ||
| A Reply object that contains the health status of the backend service. | ||
| """ | ||
| return backend_pb2.Reply(message=bytes("OK", 'utf-8')) | ||
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| def LoadModel(self, request, context): | ||
| """ | ||
| A gRPC method that loads a model into memory. | ||
| Args: | ||
| request: A LoadModelRequest object that contains the request parameters. | ||
| context: A grpc.ServicerContext object that provides information about the RPC. | ||
| Returns: | ||
| A Result object that contains the result of the LoadModel operation. | ||
| """ | ||
| model_name = request.Model | ||
| try: | ||
| device = "cuda:0" if torch.cuda.is_available() else "cpu" | ||
| self.MODEL = build_model(request.ModelFile, device) | ||
| options = request.Options | ||
| # Find the voice from the options, options are a list of strings in this form optname:optvalue: | ||
| VOICE_NAME = None | ||
| for opt in options: | ||
| if opt.startswith("voice:"): | ||
| VOICE_NAME = opt.split(":")[1] | ||
| break | ||
| if VOICE_NAME is None: | ||
| return backend_pb2.Result(success=False, message=f"No voice specified in options") | ||
| MODELPATH = request.ModelPath | ||
| # If voice name contains a plus, split it and load the two models and combine them | ||
| if "+" in VOICE_NAME: | ||
| voice1, voice2 = VOICE_NAME.split("+") | ||
| voice1 = torch.load(f'{MODELPATH}/{voice1}.pt', weights_only=True).to(device) | ||
| voice2 = torch.load(f'{MODELPATH}/{voice2}.pt', weights_only=True).to(device) | ||
| self.VOICEPACK = torch.mean(torch.stack([voice1, voice2]), dim=0) | ||
| else: | ||
| self.VOICEPACK = torch.load(f'{MODELPATH}/{VOICE_NAME}.pt', weights_only=True).to(device) | ||
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| self.VOICE_NAME = VOICE_NAME | ||
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| print(f'Loaded voice: {VOICE_NAME}') | ||
| except Exception as err: | ||
| return backend_pb2.Result(success=False, message=f"Unexpected {err=}, {type(err)=}") | ||
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| return backend_pb2.Result(message="Model loaded successfully", success=True) | ||
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| def TTS(self, request, context): | ||
| model_name = request.model | ||
| if model_name == "": | ||
| return backend_pb2.Result(success=False, message="request.model is required") | ||
| try: | ||
| audio, out_ps = generate(self.MODEL, request.text, self.VOICEPACK, lang=self.VOICE_NAME) | ||
| print(out_ps) | ||
| sf.write(request.dst, audio, SAMPLE_RATE) | ||
| except Exception as err: | ||
| return backend_pb2.Result(success=False, message=f"Unexpected {err=}, {type(err)=}") | ||
| return backend_pb2.Result(success=True) | ||
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| def serve(address): | ||
| server = grpc.server(futures.ThreadPoolExecutor(max_workers=MAX_WORKERS)) | ||
| backend_pb2_grpc.add_BackendServicer_to_server(BackendServicer(), server) | ||
| server.add_insecure_port(address) | ||
| server.start() | ||
| print("[Kokoro] Server started. Listening on: " + address, file=sys.stderr) | ||
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| # Define the signal handler function | ||
| def signal_handler(sig, frame): | ||
| print("[Kokoro] Received termination signal. Shutting down...") | ||
| server.stop(0) | ||
| sys.exit(0) | ||
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| # Set the signal handlers for SIGINT and SIGTERM | ||
| signal.signal(signal.SIGINT, signal_handler) | ||
| signal.signal(signal.SIGTERM, signal_handler) | ||
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| try: | ||
| while True: | ||
| time.sleep(_ONE_DAY_IN_SECONDS) | ||
| except KeyboardInterrupt: | ||
| server.stop(0) | ||
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| if __name__ == "__main__": | ||
| parser = argparse.ArgumentParser(description="Run the gRPC server.") | ||
| parser.add_argument( | ||
| "--addr", default="localhost:50051", help="The address to bind the server to." | ||
| ) | ||
| args = parser.parse_args() | ||
| print(f"[Kokoro] startup: {args}", file=sys.stderr) | ||
| serve(args.addr) |
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| #!/bin/bash | ||
| set -e | ||
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| source $(dirname $0)/../common/libbackend.sh | ||
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| # This is here because the Intel pip index is broken and returns 200 status codes for every package name, it just doesn't return any package links. | ||
| # This makes uv think that the package exists in the Intel pip index, and by default it stops looking at other pip indexes once it finds a match. | ||
| # We need uv to continue falling through to the pypi default index to find optimum[openvino] in the pypi index | ||
| # the --upgrade actually allows us to *downgrade* torch to the version provided in the Intel pip index | ||
| if [ "x${BUILD_PROFILE}" == "xintel" ]; then | ||
| EXTRA_PIP_INSTALL_FLAGS+=" --upgrade --index-strategy=unsafe-first-match" | ||
| fi | ||
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| installRequirements |
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