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b964b3d53e
* feat(backends): add moonshine backend for faster transcription Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Add backend to CI, update AGENTS.md from this exercise Signed-off-by: Ettore Di Giacinto <mudler@localai.io> --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
114 lines
4.1 KiB
Python
114 lines
4.1 KiB
Python
#!/usr/bin/env python3
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"""
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This is an extra gRPC server of LocalAI for Moonshine transcription
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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 moonshine_onnx
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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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try:
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print("Preparing models, please wait", file=sys.stderr)
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# Store the model name for use in transcription
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# Model name format: e.g., "moonshine/tiny"
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self.model_name = request.Model
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print(f"Model name set to: {self.model_name}", 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(message="Model loaded successfully", success=True)
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def AudioTranscription(self, request, context):
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resultSegments = []
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text = ""
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try:
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# moonshine_onnx.transcribe returns a list of strings
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transcriptions = moonshine_onnx.transcribe(request.dst, self.model_name)
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# Combine all transcriptions into a single text
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if isinstance(transcriptions, list):
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text = " ".join(transcriptions)
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# Create segments for each transcription in the list
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for id, trans in enumerate(transcriptions):
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# Since moonshine doesn't provide timing info, we'll create a single segment
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# with id and text, using approximate timing
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resultSegments.append(backend_pb2.TranscriptSegment(
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id=id,
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start=0,
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end=0,
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text=trans
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))
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else:
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# Handle case where it's not a list (shouldn't happen, but be safe)
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text = str(transcriptions)
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resultSegments.append(backend_pb2.TranscriptSegment(
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id=0,
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start=0,
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end=0,
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text=text
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))
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except Exception as err:
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print(f"Unexpected {err=}, {type(err)=}", file=sys.stderr)
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return backend_pb2.TranscriptResult(segments=[], text="")
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return backend_pb2.TranscriptResult(segments=resultSegments, text=text)
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def serve(address):
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server = grpc.server(futures.ThreadPoolExecutor(max_workers=MAX_WORKERS),
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options=[
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('grpc.max_message_length', 50 * 1024 * 1024), # 50MB
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('grpc.max_send_message_length', 50 * 1024 * 1024), # 50MB
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('grpc.max_receive_message_length', 50 * 1024 * 1024), # 50MB
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])
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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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