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* feat: create bash library to handle install/run/test of python backends Signed-off-by: Chris Jowett <421501+cryptk@users.noreply.github.com> * chore: minor cleanup Signed-off-by: Chris Jowett <421501+cryptk@users.noreply.github.com> * fix: remove incorrect LIMIT_TARGETS from parler-tts Signed-off-by: Chris Jowett <421501+cryptk@users.noreply.github.com> * fix: update runUnitests to handle running tests from a custom test file Signed-off-by: Chris Jowett <421501+cryptk@users.noreply.github.com> * chore: document runUnittests Signed-off-by: Chris Jowett <421501+cryptk@users.noreply.github.com> --------- Signed-off-by: Chris Jowett <421501+cryptk@users.noreply.github.com>
94 lines
3.2 KiB
Python
94 lines
3.2 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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from scipy.io.wavfile import write as write_wav
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import backend_pb2
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import backend_pb2_grpc
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from bark import SAMPLE_RATE, generate_audio, preload_models
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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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# 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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model_name = request.Model
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try:
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print("Preparing models, please wait", file=sys.stderr)
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# download and load all models
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preload_models()
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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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model = request.model
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print(request, file=sys.stderr)
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try:
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audio_array = None
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if model != "":
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audio_array = generate_audio(request.text, history_prompt=model)
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else:
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audio_array = generate_audio(request.text)
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print("saving to", request.dst, file=sys.stderr)
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# save audio to disk
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write_wav(request.dst, SAMPLE_RATE, audio_array)
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print("saved to", request.dst, file=sys.stderr)
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print("tts for", file=sys.stderr)
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print(request, file=sys.stderr)
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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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