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feat(outlines): Add support outlines #1269
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Original file line number | Diff line number | Diff line change |
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.PONY: outlines | ||
outlines: | ||
@echo "Creating virtual environment..." | ||
@conda env create --name outlines --file outlines.yml | ||
@echo "Virtual environment created." | ||
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.PONY: run | ||
run: | ||
@echo "Running outlines..." | ||
bash run.sh | ||
@echo "outlines run." |
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Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,5 @@ | ||
# Creating a separate environment for the outlines project | ||
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``` | ||
make outlines | ||
``` |
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Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,80 @@ | ||
""" | ||
This is the extra gRPC server for outlines of LocalAI | ||
""" | ||
from concurrent import futures | ||
import argparse | ||
import os | ||
import signal | ||
import sys | ||
import time | ||
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import backend_pb2 | ||
import backend_pb2_grpc | ||
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import grpc | ||
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import outlines.text.generate as generate | ||
import outlines.models as models | ||
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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 | ||
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): | ||
""" | ||
BackendServicer is the class that implements the gRPC service | ||
""" | ||
def Health(self, request, context): | ||
return backend_pb2.Reply(message=bytes("OK", 'utf-8')) | ||
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def LoadModel(self, request, context): | ||
try: | ||
# model should be name of the model, e.g. gpt2 | ||
if request.Model == "": | ||
return backend_pb2.Result(success=False, message="Model name is empty") | ||
# It includes cache of the model, we do not need to add cache here. | ||
self.model = models.transformers(request.Model) | ||
except Exception as err: | ||
return backend_pb2.Result(success=False, message=f"Unexpected {err=}, {type(err)=}") | ||
return backend_pb2.Result(message="Model loaded successfully", success=True) | ||
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def Predict(self, request, context): | ||
try: | ||
output=generate.continuation(self.model, stop=[str(request.StopPrompts)])(str(request.Prompt)) | ||
except Exception as err: | ||
return backend_pb2.Result(success=False, message=f"Unexpected {err=}, {type(err)=}") | ||
return backend_pb2.Result(message=bytes(output, encoding='utf-8')) | ||
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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("Server started. Listening on: " + address, file=sys.stderr) | ||
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# Define the signal handler function | ||
def signal_handler(sig, frame): | ||
print("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() | ||
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serve(args.addr) |
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this needs to be added also in the Dockerfile here:
LocalAI/Dockerfile
Line 153 in 991ecce
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Done