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Adding files to deploy MultimodalQnA application on ROCm vLLM (opea-project#1737)
Signed-off-by: Artem Astafev <a.astafev@datamonsters.com> Signed-off-by: Lacewell, Chaunte W <chaunte.w.lacewell@intel.com>
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-166
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‎MultimodalQnA/docker_compose/amd/gpu/rocm/README.md

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‎MultimodalQnA/docker_compose/amd/gpu/rocm/compose.yaml

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@@ -105,7 +105,7 @@ services:
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HUGGINGFACEHUB_API_TOKEN: ${MULTIMODAL_HUGGINGFACEHUB_API_TOKEN}
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HUGGING_FACE_HUB_TOKEN: ${MULTIMODAL_HUGGINGFACEHUB_API_TOKEN}
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volumes:
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- "/var/opea/multimodalqna-service/data:/data"
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- "${MODEL_CACHE:-./data}:/data"
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shm_size: 64g
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devices:
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- /dev/kfd:/dev/kfd
@@ -156,7 +156,7 @@ services:
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MM_EMBEDDING_PORT_MICROSERVICE: ${MM_EMBEDDING_PORT_MICROSERVICE}
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MM_RETRIEVER_SERVICE_HOST_IP: ${MM_RETRIEVER_SERVICE_HOST_IP}
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LVM_SERVICE_HOST_IP: ${LVM_SERVICE_HOST_IP}
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WHISPER_SERVER_PORT: ${WHISPER_SERVER_PORT}
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WHISPER_SERVER_PORT: ${WHISPER_PORT}
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WHISPER_SERVER_ENDPOINT: ${WHISPER_SERVER_ENDPOINT}
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ipc: host
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restart: always

‎MultimodalQnA/docker_compose/amd/gpu/rocm/compose_vllm.yaml

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# Copyright (C) 2024 Advanced Micro Devices, Inc.
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# SPDX-License-Identifier: Apache-2.0
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services:
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whisper-service:
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image: ${REGISTRY:-opea}/whisper:${TAG:-latest}
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container_name: whisper-service
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ports:
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- "7066:7066"
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ipc: host
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environment:
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no_proxy: ${no_proxy}
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http_proxy: ${http_proxy}
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https_proxy: ${https_proxy}
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restart: unless-stopped
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redis-vector-db:
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image: redis/redis-stack:7.2.0-v9
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container_name: redis-vector-db
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ports:
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- "6379:6379"
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- "8001:8001"
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dataprep-multimodal-redis:
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image: ${REGISTRY:-opea}/dataprep:${TAG:-latest}
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container_name: dataprep-multimodal-redis
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depends_on:
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- redis-vector-db
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- lvm
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ports:
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- "6007:5000"
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environment:
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no_proxy: ${no_proxy}
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http_proxy: ${http_proxy}
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https_proxy: ${https_proxy}
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REDIS_URL: ${REDIS_URL}
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REDIS_HOST: ${REDIS_HOST}
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INDEX_NAME: ${INDEX_NAME}
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LVM_ENDPOINT: "http://${LVM_SERVICE_HOST_IP}:9399/v1/lvm"
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HUGGINGFACEHUB_API_TOKEN: ${MULTIMODAL_HUGGINGFACEHUB_API_TOKEN}
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MULTIMODAL_DATAPREP: true
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DATAPREP_COMPONENT_NAME: "OPEA_DATAPREP_MULTIMODALREDIS"
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restart: unless-stopped
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embedding-multimodal-bridgetower:
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image: ${REGISTRY:-opea}/embedding-multimodal-bridgetower:${TAG:-latest}
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container_name: embedding-multimodal-bridgetower
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ports:
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- ${EMBEDDER_PORT}:${EMBEDDER_PORT}
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environment:
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no_proxy: ${no_proxy}
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http_proxy: ${http_proxy}
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https_proxy: ${https_proxy}
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PORT: ${EMBEDDER_PORT}
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healthcheck:
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test: ["CMD-SHELL", "http_proxy='' curl -f http://localhost:${EMBEDDER_PORT}/v1/health_check"]
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interval: 10s
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timeout: 6s
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retries: 18
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start_period: 30s
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entrypoint: ["python", "bridgetower_server.py", "--device", "cpu", "--model_name_or_path", $EMBEDDING_MODEL_ID]
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restart: unless-stopped
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embedding:
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image: ${REGISTRY:-opea}/embedding:${TAG:-latest}
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container_name: embedding
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depends_on:
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embedding-multimodal-bridgetower:
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condition: service_healthy
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ports:
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- ${MM_EMBEDDING_PORT_MICROSERVICE}:${MM_EMBEDDING_PORT_MICROSERVICE}
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ipc: host
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environment:
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no_proxy: ${no_proxy}
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http_proxy: ${http_proxy}
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https_proxy: ${https_proxy}
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MMEI_EMBEDDING_ENDPOINT: ${MMEI_EMBEDDING_ENDPOINT}
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MM_EMBEDDING_PORT_MICROSERVICE: ${MM_EMBEDDING_PORT_MICROSERVICE}
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MULTIMODAL_EMBEDDING: true
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restart: unless-stopped
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retriever-redis:
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image: ${REGISTRY:-opea}/retriever:${TAG:-latest}
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container_name: retriever-redis
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depends_on:
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- redis-vector-db
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ports:
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- "7000:7000"
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ipc: host
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environment:
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no_proxy: ${no_proxy}
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http_proxy: ${http_proxy}
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https_proxy: ${https_proxy}
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REDIS_URL: ${REDIS_URL}
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INDEX_NAME: ${INDEX_NAME}
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BRIDGE_TOWER_EMBEDDING: ${BRIDGE_TOWER_EMBEDDING}
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LOGFLAG: ${LOGFLAG}
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RETRIEVER_COMPONENT_NAME: "OPEA_RETRIEVER_REDIS"
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restart: unless-stopped
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multimodalqna-vllm-service:
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image: ${REGISTRY:-opea}/vllm-rocm:${TAG:-latest}
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container_name: multimodalqna-vllm-service
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ports:
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- "${MULTIMODAL_VLLM_SERVICE_PORT:-8081}:8011"
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environment:
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no_proxy: ${no_proxy}
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http_proxy: ${http_proxy}
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https_proxy: ${https_proxy}
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HUGGINGFACEHUB_API_TOKEN: ${MULTIMODAL_HUGGINGFACEHUB_API_TOKEN}
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HF_TOKEN: ${MULTIMODAL_HUGGINGFACEHUB_API_TOKEN}
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HF_HUB_DISABLE_PROGRESS_BARS: 1
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HF_HUB_ENABLE_HF_TRANSFER: 0
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WILM_USE_TRITON_FLASH_ATTENTION: 0
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PYTORCH_JIT: 0
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volumes:
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- "${MODEL_CACHE:-./data}:/data"
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shm_size: 20G
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devices:
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- /dev/kfd:/dev/kfd
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- /dev/dri/:/dev/dri/
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cap_add:
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- SYS_PTRACE
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group_add:
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- video
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security_opt:
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- seccomp:unconfined
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- apparmor=unconfined
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command: "--model ${MULTIMODAL_LLM_MODEL_ID} --swap-space 16 --disable-log-requests --dtype float16 --tensor-parallel-size 1 --host 0.0.0.0 --port 8011 --num-scheduler-steps 1 --distributed-executor-backend \"mp\""
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ipc: host
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lvm:
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image: ${REGISTRY:-opea}/lvm:${TAG:-latest}
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container_name: lvm
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depends_on:
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- multimodalqna-vllm-service
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ports:
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- "9399:9399"
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ipc: host
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environment:
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no_proxy: ${no_proxy}
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http_proxy: ${http_proxy}
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https_proxy: ${https_proxy}
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LVM_COMPONENT_NAME: "OPEA_VLLM_LVM"
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LVM_ENDPOINT: ${LVM_ENDPOINT}
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LLM_MODEL_ID: ${MULTIMODAL_LLM_MODEL_ID}
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HF_HUB_DISABLE_PROGRESS_BARS: 1
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HF_HUB_ENABLE_HF_TRANSFER: 0
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restart: unless-stopped
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multimodalqna:
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image: ${REGISTRY:-opea}/multimodalqna:${TAG:-latest}
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container_name: multimodalqna-backend-server
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depends_on:
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- redis-vector-db
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- dataprep-multimodal-redis
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- embedding
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- retriever-redis
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- lvm
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ports:
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- "8888:8888"
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environment:
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no_proxy: ${no_proxy}
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https_proxy: ${https_proxy}
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http_proxy: ${http_proxy}
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MEGA_SERVICE_HOST_IP: ${MEGA_SERVICE_HOST_IP}
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MM_EMBEDDING_SERVICE_HOST_IP: ${MM_EMBEDDING_SERVICE_HOST_IP}
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MM_EMBEDDING_PORT_MICROSERVICE: ${MM_EMBEDDING_PORT_MICROSERVICE}
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MM_RETRIEVER_SERVICE_HOST_IP: ${MM_RETRIEVER_SERVICE_HOST_IP}
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LVM_SERVICE_HOST_IP: ${LVM_SERVICE_HOST_IP}
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WHISPER_SERVER_PORT: ${WHISPER_PORT}
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WHISPER_SERVER_ENDPOINT: ${WHISPER_SERVER_ENDPOINT}
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ipc: host
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restart: always
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multimodalqna-ui:
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image: ${REGISTRY:-opea}/multimodalqna-ui:${TAG:-latest}
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container_name: multimodalqna-gradio-ui-server
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depends_on:
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- multimodalqna
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ports:
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- "5173:5173"
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environment:
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- no_proxy=${no_proxy}
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- https_proxy=${https_proxy}
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- http_proxy=${http_proxy}
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- BACKEND_SERVICE_ENDPOINT=${BACKEND_SERVICE_ENDPOINT}
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- DATAPREP_INGEST_SERVICE_ENDPOINT=${DATAPREP_INGEST_SERVICE_ENDPOINT}
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- DATAPREP_GEN_TRANSCRIPT_SERVICE_ENDPOINT=${DATAPREP_GEN_TRANSCRIPT_SERVICE_ENDPOINT}
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- DATAPREP_GEN_CAPTION_SERVICE_ENDPOINT=${DATAPREP_GEN_CAPTION_SERVICE_ENDPOINT}
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ipc: host
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restart: always
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networks:
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default:
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driver: bridge

‎MultimodalQnA/docker_compose/amd/gpu/rocm/set_env.sh

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@@ -31,3 +31,5 @@ export DATAPREP_GEN_TRANSCRIPT_SERVICE_ENDPOINT="http://${HOST_IP}:6007/v1/datap
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export DATAPREP_GEN_CAPTION_SERVICE_ENDPOINT="http://${HOST_IP}:6007/v1/dataprep/generate_captions"
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export DATAPREP_GET_FILE_ENDPOINT="http://${HOST_IP}:6007/v1/dataprep/get"
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export DATAPREP_DELETE_FILE_ENDPOINT="http://${HOST_IP}:6007/v1/dataprep/delete"
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export WHISPER_PORT="7066"
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export WHISPER_SERVER_ENDPOINT="http://${host_ip}:${WHISPER_PORT}/v1/asr"

‎MultimodalQnA/docker_compose/amd/gpu/rocm/set_env_vllm.sh

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#!/usr/bin/env bash
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# Copyright (C) 2024 Advanced Micro Devices, Inc.
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# SPDX-License-Identifier: Apache-2.0
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export HOST_IP=${your_host_ip_address}
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export MULTIMODAL_HUGGINGFACEHUB_API_TOKEN=${your_huggingfacehub_token}
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export MULTIMODAL_TGI_SERVICE_PORT="8399"
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export no_proxy=${your_no_proxy}
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export http_proxy=${your_http_proxy}
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export https_proxy=${your_http_proxy}
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export BRIDGE_TOWER_EMBEDDING=true
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export EMBEDDER_PORT=6006
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export MMEI_EMBEDDING_ENDPOINT="http://${HOST_IP}:$EMBEDDER_PORT"
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export MM_EMBEDDING_PORT_MICROSERVICE=6000
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export REDIS_URL="redis://${HOST_IP}:6379"
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export REDIS_HOST=${HOST_IP}
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export INDEX_NAME="mm-rag-redis"
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export VLLM_SERVER_PORT=8081
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export LVM_ENDPOINT="http://${HOST_IP}:${VLLM_SERVER_PORT}"
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export EMBEDDING_MODEL_ID="BridgeTower/bridgetower-large-itm-mlm-itc"
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export LVM_MODEL_ID="Xkev/Llama-3.2V-11B-cot"
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export WHISPER_MODEL="base"
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export MM_EMBEDDING_SERVICE_HOST_IP=${HOST_IP}
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export MM_RETRIEVER_SERVICE_HOST_IP=${HOST_IP}
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export LVM_SERVICE_HOST_IP=${HOST_IP}
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export MEGA_SERVICE_HOST_IP=${HOST_IP}
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export BACKEND_SERVICE_ENDPOINT="http://${HOST_IP}:8888/v1/multimodalqna"
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export DATAPREP_INGEST_SERVICE_ENDPOINT="http://${HOST_IP}:6007/v1/dataprep/ingest"
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export DATAPREP_GEN_TRANSCRIPT_SERVICE_ENDPOINT="http://${HOST_IP}:6007/v1/dataprep/generate_transcripts"
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export DATAPREP_GEN_CAPTION_SERVICE_ENDPOINT="http://${HOST_IP}:6007/v1/dataprep/generate_captions"
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export DATAPREP_GET_FILE_ENDPOINT="http://${HOST_IP}:6007/v1/dataprep/get"
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export DATAPREP_DELETE_FILE_ENDPOINT="http://${HOST_IP}:6007/v1/dataprep/delete"
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export WHISPER_PORT="7066"
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export WHISPER_SERVER_ENDPOINT="http://${host_ip}:${WHISPER_PORT}/v1/asr"

‎MultimodalQnA/docker_image_build/build.yaml

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@@ -77,3 +77,8 @@ services:
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dockerfile: comps/tts/src/Dockerfile
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extends: multimodalqna
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image: ${REGISTRY:-opea}/tts:${TAG:-latest}
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vllm-rocm:
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build:
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context: GenAIComps
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dockerfile: comps/third_parties/vllm/src/Dockerfile.amd_gpu
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image: ${REGISTRY:-opea}/vllm-rocm:${TAG:-latest}

‎MultimodalQnA/tests/test_compose_on_rocm.sh

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@@ -72,12 +72,21 @@ function setup_env() {
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export DATAPREP_GEN_CAPTION_SERVICE_ENDPOINT="http://${HOST_IP}:6007/v1/dataprep/generate_captions"
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export DATAPREP_GET_FILE_ENDPOINT="http://${HOST_IP}:6007/v1/dataprep/get"
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export DATAPREP_DELETE_FILE_ENDPOINT="http://${HOST_IP}:6007/v1/dataprep/delete"
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export MODEL_CACHE=${model_cache:-"/var/opea/multimodalqna-service/data"}
7576
}
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7778
function start_services() {
7879
cd $WORKPATH/docker_compose/amd/gpu/rocm
7980
docker compose -f compose.yaml up -d > ${LOG_PATH}/start_services_with_compose.log
80-
sleep 1m
81+
n=0
82+
until [[ "$n" -ge 100 ]]; do
83+
docker logs tgi-llava-rocm-server >& $LOG_PATH/tgi-llava-rocm-server_start.log
84+
if grep -q "Connected" $LOG_PATH/tgi-llava-rocm-server_start.log; then
85+
break
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fi
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sleep 10s
88+
n=$((n+1))
89+
done
8190
}
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8392
function prepare_data() {

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