mirror of
https://github.com/mudler/LocalAI.git
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98 lines
3.4 KiB
Python
98 lines
3.4 KiB
Python
#!/usr/bin/env python3
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"""
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This is an extra gRPC server of LocalAI for Bark TTS
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"""
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from concurrent import futures
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import time
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import argparse
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import signal
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import sys
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import os
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import backend_pb2
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import backend_pb2_grpc
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import torch
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from TTS.api import TTS
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import grpc
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_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
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MAX_WORKERS = int(os.environ.get('PYTHON_GRPC_MAX_WORKERS', '1'))
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COQUI_LANGUAGE = os.environ.get('COQUI_LANGUAGE', 'en')
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# Implement the BackendServicer class with the service methods
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class BackendServicer(backend_pb2_grpc.BackendServicer):
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"""
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BackendServicer is the class that implements the gRPC service
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"""
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def Health(self, request, context):
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return backend_pb2.Reply(message=bytes("OK", 'utf-8'))
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def LoadModel(self, request, context):
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# Get device
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device = "cuda" if request.CUDA else "cpu"
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if not torch.cuda.is_available() and request.CUDA:
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return backend_pb2.Result(success=False, message="CUDA is not available")
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# List available 🐸TTS models
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print(TTS().list_models())
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if os.path.isabs(request.AudioPath):
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self.AudioPath = request.AudioPath
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elif request.AudioPath and request.ModelFile != "" and not os.path.isabs(request.AudioPath):
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# get base path of modelFile
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modelFileBase = os.path.dirname(request.ModelFile)
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# modify LoraAdapter to be relative to modelFileBase
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self.AudioPath = os.path.join(modelFileBase, request.AudioPath)
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try:
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print("Preparing models, please wait", file=sys.stderr)
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self.tts = TTS(request.Model).to(device)
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except Exception as err:
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return backend_pb2.Result(success=False, message=f"Unexpected {err=}, {type(err)=}")
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# Implement your logic here for the LoadModel service
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# Replace this with your desired response
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return backend_pb2.Result(message="Model loaded successfully", success=True)
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def TTS(self, request, context):
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try:
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self.tts.tts_to_file(text=request.text, speaker_wav=self.AudioPath, language=COQUI_LANGUAGE, file_path=request.dst)
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except Exception as err:
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return backend_pb2.Result(success=False, message=f"Unexpected {err=}, {type(err)=}")
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return backend_pb2.Result(success=True)
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def serve(address):
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server = grpc.server(futures.ThreadPoolExecutor(max_workers=MAX_WORKERS))
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backend_pb2_grpc.add_BackendServicer_to_server(BackendServicer(), server)
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server.add_insecure_port(address)
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server.start()
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print("Server started. Listening on: " + address, file=sys.stderr)
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# Define the signal handler function
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def signal_handler(sig, frame):
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print("Received termination signal. Shutting down...")
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server.stop(0)
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sys.exit(0)
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# Set the signal handlers for SIGINT and SIGTERM
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signal.signal(signal.SIGINT, signal_handler)
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signal.signal(signal.SIGTERM, signal_handler)
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try:
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while True:
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time.sleep(_ONE_DAY_IN_SECONDS)
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except KeyboardInterrupt:
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server.stop(0)
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(description="Run the gRPC server.")
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parser.add_argument(
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"--addr", default="localhost:50051", help="The address to bind the server to."
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)
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args = parser.parse_args()
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serve(args.addr)
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