langchain-chat-with-milvus/rpc/server.py

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2023-11-14 11:41:35 +00:00
import os
from concurrent import futures
from langchain.embeddings import OpenAIEmbeddings
import ai_pb2
import ai_pb2_grpc
import grpc
class AIServer(ai_pb2_grpc.LLMQueryServicer):
def AddDocument(self, request, context):
print("AddDocument called with", request.text)
return ai_pb2.AddDocumentReply(
id=request.text
)
def serve():
_ADDR = os.getenv("BIND")
if _ADDR is None:
_ADDR = "[::]:50051"
print("Listening on", _ADDR)
server = grpc.server(futures.ThreadPoolExecutor(max_workers=10))
ai_pb2_grpc.add_LLMQueryServicer_to_server(AIServer(), server)
server.add_insecure_port(_ADDR)
server.start()
server.wait_for_termination()
serve()