mirror of
https://github.com/mudler/LocalAI.git
synced 2024-06-07 19:40:48 +00:00
ad0e30bca5
* refactor: move backends into the backends directory Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * refactor: move main close to implementation for every backend Signed-off-by: Ettore Di Giacinto <mudler@localai.io> --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
95 lines
3.2 KiB
Python
95 lines
3.2 KiB
Python
"""
|
|
This is the extra gRPC server of LocalAI
|
|
"""
|
|
|
|
#!/usr/bin/env python3
|
|
from concurrent import futures
|
|
import time
|
|
import argparse
|
|
import signal
|
|
import sys
|
|
import os
|
|
from scipy.io.wavfile import write as write_wav
|
|
|
|
import backend_pb2
|
|
import backend_pb2_grpc
|
|
from bark import SAMPLE_RATE, generate_audio, preload_models
|
|
|
|
import grpc
|
|
|
|
|
|
_ONE_DAY_IN_SECONDS = 60 * 60 * 24
|
|
|
|
# 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'))
|
|
|
|
# Implement the BackendServicer class with the service methods
|
|
class BackendServicer(backend_pb2_grpc.BackendServicer):
|
|
"""
|
|
BackendServicer is the class that implements the gRPC service
|
|
"""
|
|
def Health(self, request, context):
|
|
return backend_pb2.Reply(message=bytes("OK", 'utf-8'))
|
|
def LoadModel(self, request, context):
|
|
model_name = request.Model
|
|
try:
|
|
print("Preparing models, please wait", file=sys.stderr)
|
|
# download and load all models
|
|
preload_models()
|
|
except Exception as err:
|
|
return backend_pb2.Result(success=False, message=f"Unexpected {err=}, {type(err)=}")
|
|
# Implement your logic here for the LoadModel service
|
|
# Replace this with your desired response
|
|
return backend_pb2.Result(message="Model loaded successfully", success=True)
|
|
|
|
def TTS(self, request, context):
|
|
model = request.model
|
|
print(request, file=sys.stderr)
|
|
try:
|
|
audio_array = None
|
|
if model != "":
|
|
audio_array = generate_audio(request.text, history_prompt=model)
|
|
else:
|
|
audio_array = generate_audio(request.text)
|
|
print("saving to", request.dst, file=sys.stderr)
|
|
# save audio to disk
|
|
write_wav(request.dst, SAMPLE_RATE, audio_array)
|
|
print("saved to", request.dst, file=sys.stderr)
|
|
print("tts for", file=sys.stderr)
|
|
print(request, file=sys.stderr)
|
|
except Exception as err:
|
|
return backend_pb2.Result(success=False, message=f"Unexpected {err=}, {type(err)=}")
|
|
return backend_pb2.Result(success=True)
|
|
|
|
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("Server started. Listening on: " + address, file=sys.stderr)
|
|
|
|
# Define the signal handler function
|
|
def signal_handler(sig, frame):
|
|
print("Received termination signal. Shutting down...")
|
|
server.stop(0)
|
|
sys.exit(0)
|
|
|
|
# Set the signal handlers for SIGINT and SIGTERM
|
|
signal.signal(signal.SIGINT, signal_handler)
|
|
signal.signal(signal.SIGTERM, signal_handler)
|
|
|
|
try:
|
|
while True:
|
|
time.sleep(_ONE_DAY_IN_SECONDS)
|
|
except KeyboardInterrupt:
|
|
server.stop(0)
|
|
|
|
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()
|
|
|
|
serve(args.addr)
|