Files
GenAIExamples/MultimodalQnA/multimodalqna.py
Tiep Le b6cce35a93 Add MultimodalQnA as MMRAG usecase in Example (#751)
Signed-off-by: Tiep Le <tiep.le@intel.com>
Signed-off-by: siddhivelankar23 <siddhi.velankar@intel.com>
Signed-off-by: sjagtap1803 <siddhant.jagtap@intel.com>
2024-09-14 16:55:29 +08:00

71 lines
2.5 KiB
Python

# Copyright (C) 2024 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
import os
from comps import MicroService, MultimodalQnAGateway, ServiceOrchestrator, ServiceType
MEGA_SERVICE_HOST_IP = os.getenv("MEGA_SERVICE_HOST_IP", "0.0.0.0")
MEGA_SERVICE_PORT = int(os.getenv("MEGA_SERVICE_PORT", 8888))
MM_EMBEDDING_SERVICE_HOST_IP = os.getenv("MM_EMBEDDING_SERVICE_HOST_IP", "0.0.0.0")
MM_EMBEDDING_PORT_MICROSERVICE = int(os.getenv("MM_EMBEDDING_PORT_MICROSERVICE", 6000))
MM_RETRIEVER_SERVICE_HOST_IP = os.getenv("MM_RETRIEVER_SERVICE_HOST_IP", "0.0.0.0")
MM_RETRIEVER_SERVICE_PORT = int(os.getenv("MM_RETRIEVER_SERVICE_PORT", 7000))
LVM_SERVICE_HOST_IP = os.getenv("LVM_SERVICE_HOST_IP", "0.0.0.0")
LVM_SERVICE_PORT = int(os.getenv("LVM_SERVICE_PORT", 9399))
class MultimodalQnAService:
def __init__(self, host="0.0.0.0", port=8000):
self.host = host
self.port = port
self.mmrag_megaservice = ServiceOrchestrator()
self.lvm_megaservice = ServiceOrchestrator()
def add_remote_service(self):
mm_embedding = MicroService(
name="embedding",
host=MM_EMBEDDING_SERVICE_HOST_IP,
port=MM_EMBEDDING_PORT_MICROSERVICE,
endpoint="/v1/embeddings",
use_remote_service=True,
service_type=ServiceType.EMBEDDING,
)
mm_retriever = MicroService(
name="retriever",
host=MM_RETRIEVER_SERVICE_HOST_IP,
port=MM_RETRIEVER_SERVICE_PORT,
endpoint="/v1/multimodal_retrieval",
use_remote_service=True,
service_type=ServiceType.RETRIEVER,
)
lvm = MicroService(
name="lvm",
host=LVM_SERVICE_HOST_IP,
port=LVM_SERVICE_PORT,
endpoint="/v1/lvm",
use_remote_service=True,
service_type=ServiceType.LVM,
)
# for mmrag megaservice
self.mmrag_megaservice.add(mm_embedding).add(mm_retriever).add(lvm)
self.mmrag_megaservice.flow_to(mm_embedding, mm_retriever)
self.mmrag_megaservice.flow_to(mm_retriever, lvm)
# for lvm megaservice
self.lvm_megaservice.add(lvm)
self.gateway = MultimodalQnAGateway(
multimodal_rag_megaservice=self.mmrag_megaservice,
lvm_megaservice=self.lvm_megaservice,
host="0.0.0.0",
port=self.port,
)
if __name__ == "__main__":
mmragwithvideos = MultimodalQnAService(host=MEGA_SERVICE_HOST_IP, port=MEGA_SERVICE_PORT)
mmragwithvideos.add_remote_service()