Fix VideoQnA (#1696)
This PR fixes the VideoQnA example. Fixes Issues #1476 #1478 #1477 Signed-off-by: zhanmyz <yazhan.ma@intel.com> Signed-off-by: Lacewell, Chaunte W <chaunte.w.lacewell@intel.com>
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@@ -17,7 +17,7 @@ Port 8001 - Open to 0.0.0.0/0
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embedding
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=========
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Port 6000 - Open to 0.0.0.0/0
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Port 6990 - Open to 0.0.0.0/0
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retriever
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=========
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@@ -33,13 +33,13 @@ Port 9009 - Open to 0.0.0.0/0
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lvm
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===
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Port 9000 - Open to 0.0.0.0/0
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Port 9399 - Open to 0.0.0.0/0
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chaqna-xeon-backend-server
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videoqna-xeon-backend-server
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==========================
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Port 8888 - Open to 0.0.0.0/0
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chaqna-xeon-ui-server
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videoqna-xeon-ui-server
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=====================
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Port 5173 - Open to 0.0.0.0/0
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```
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@@ -106,17 +106,14 @@ docker build -t opea/videoqna-ui:latest --build-arg https_proxy=$https_proxy --b
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Then run the command `docker images`, you will have the following 8 Docker Images:
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1. `opea/embedding-multimodal-clip:latest`
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1. `opea/retriever:latest`
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1. `opea/reranking:latest`
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1. `opea/lvm-video-llama:latest`
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1. `opea/lvm:latest`
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1. `opea/dataprep:latest`
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2. `opea/embedding-multimodal-clip:latest`
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3. `opea/retriever:latest`
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4. `opea/reranking:latest`
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5. `opea/video-llama-lvm-server:latest`
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6. # `opea/lvm-video-llama:latest`
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7. `opea/reranking-tei:latest`
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8. `opea/lvm-video-llama:latest`
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9. `opea/lvm:latest`
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10. `opea/videoqna:latest`
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11. `opea/videoqna-ui:latest`
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1. `opea/videoqna:latest`
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1. `opea/videoqna-ui:latest`
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## 🚀 Start Microservices
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@@ -132,18 +129,18 @@ Since the `compose.yaml` will consume some environment variables, you need to se
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export host_ip="External_Public_IP"
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```
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**Export the value of your Huggingface API token to the `your_hf_api_token` environment variable**
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**Export the value of your Huggingface API token to the `HF_TOKEN` environment variable**
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> Change the `Your_Huggingface_API_Token` below with your actual Huggingface API Token value
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```
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export your_hf_api_token="Your_Huggingface_API_Token"
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export HF_TOKEN="Your_Huggingface_API_Token"
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```
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**Append the value of the public IP address to the no_proxy list**
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```
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export your_no_proxy="${your_no_proxy},${host_ip}"
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export no_proxy="${your_no_proxy},${host_ip}"
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```
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Then you can run below commands or `source set_env.sh` to set all the variables
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@@ -152,26 +149,52 @@ Then you can run below commands or `source set_env.sh` to set all the variables
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export no_proxy=${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 MEGA_SERVICE_HOST_IP=${host_ip}
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export EMBEDDING_SERVICE_HOST_IP=${host_ip}
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export RETRIEVER_SERVICE_HOST_IP=${host_ip}
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export RERANK_SERVICE_HOST_IP=${host_ip}
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export LVM_SERVICE_HOST_IP=${host_ip}
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export LVM_ENDPOINT="http://${host_ip}:9009"
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export BACKEND_SERVICE_ENDPOINT="http://${host_ip}:8888/v1/videoqna"
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export BACKEND_HEALTH_CHECK_ENDPOINT="http://${host_ip}:8888/v1/health_check"
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export DATAPREP_SERVICE_ENDPOINT="http://${host_ip}:6007/v1/dataprep/ingest"
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export DATAPREP_GET_FILE_ENDPOINT="http://${host_ip}:6007/v1/dataprep/get"
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export DATAPREP_GET_VIDEO_LIST_ENDPOINT="http://${host_ip}:6007/v1/dataprep/get_videos"
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export HF_TOKEN=${HF_TOKEN}
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export HUGGINGFACEHUB_API_TOKEN=${HF_TOKEN}
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export VDMS_HOST=${host_ip}
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export VDMS_PORT=8001
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export INDEX_NAME="mega-videoqna"
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export LLM_DOWNLOAD="True"
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export LLM_DOWNLOAD="True" # Set to "False" before redeploy LVM server to avoid model download
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export RERANK_COMPONENT_NAME="OPEA_VIDEO_RERANKING"
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export LVM_COMPONENT_NAME="OPEA_VIDEO_LLAMA_LVM"
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export EMBEDDING_COMPONENT_NAME="OPEA_CLIP_EMBEDDING"
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export USECLIP=1
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export LOGFLAG=True
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export HUGGINGFACEHUB_API_TOKEN=${your_hf_api_token}
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export EMBEDDING_SERVICE_HOST_IP=${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 RERANK_SERVICE_HOST_IP=${host_ip}
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export RETRIEVER_SERVICE_HOST_IP=${host_ip}
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export VDMS_HOST=${host_ip}
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export BACKEND_PORT=8888
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export DATAPREP_PORT=6007
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export EMBEDDER_PORT=6990
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export MULTIMODAL_CLIP_EMBEDDER_PORT=6991
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export LVM_PORT=9399
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export RERANKING_PORT=8000
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export RETRIEVER_PORT=7000
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export UI_PORT=5173
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export VDMS_PORT=8001
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export VIDEO_LLAMA_PORT=9009
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export BACKEND_HEALTH_CHECK_ENDPOINT="http://${host_ip}:${BACKEND_PORT}/v1/health_check"
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export BACKEND_SERVICE_ENDPOINT="http://${host_ip}:${BACKEND_PORT}/v1/videoqna"
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export CLIP_EMBEDDING_ENDPOINT="http://${host_ip}:${MULTIMODAL_CLIP_EMBEDDER_PORT}"
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export DATAPREP_GET_FILE_ENDPOINT="http://${host_ip}:${DATAPREP_PORT}/v1/dataprep/get"
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export DATAPREP_GET_VIDEO_LIST_ENDPOINT="http://${host_ip}:${DATAPREP_PORT}/v1/dataprep/get_videos"
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export DATAPREP_INGEST_SERVICE_ENDPOINT="http://${host_ip}:${DATAPREP_PORT}/v1/dataprep/ingest"
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export EMBEDDING_ENDPOINT="http://${host_ip}:${EMBEDDER_PORT}/v1/embeddings"
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export FRONTEND_ENDPOINT="http://${host_ip}:${UI_PORT}/_stcore/health"
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export LVM_ENDPOINT="http://${host_ip}:${VIDEO_LLAMA_PORT}"
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export LVM_VIDEO_ENDPOINT="http://${host_ip}:${VIDEO_LLAMA_PORT}/generate"
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export RERANKING_ENDPOINT="http://${host_ip}:${RERANKING_PORT}/v1/reranking"
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export RETRIEVER_ENDPOINT="http://${host_ip}:${RETRIEVER_PORT}/v1/retrieval"
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export TEI_RERANKING_ENDPOINT="http://${host_ip}:${TEI_RERANKING_PORT}"
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export UI_ENDPOINT="http://${host_ip}:${UI_PORT}/_stcore/health"
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export no_proxy="${NO_PROXY},${host_ip},vdms-vector-db,dataprep-vdms-server,clip-embedding-server,reranking-tei-server,retriever-vdms-server,lvm-video-llama,lvm,videoqna-xeon-backend-server,videoqna-xeon-ui-server"
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```
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Note: Replace with `host_ip` with you external IP address, do not use localhost.
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@@ -190,12 +213,13 @@ In the deploy steps, you need to start the VDMS DB and dataprep firstly, then in
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```bash
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cd GenAIExamples/VideoQnA/docker_compose/intel/cpu/xeon/
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docker volume create video-llama-model
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docker volume create video-llama-
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docker volume create videoqna-cache
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docker compose up vdms-vector-db dataprep -d
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sleep 1m # wait for the services ready
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sleep 30s
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# Insert some sample data to the DB
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curl -X POST http://${host_ip}:6007/v1/dataprep/ingest \
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curl -X POST ${DATAPREP_INGEST_SERVICE_ENDPOINT} \
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-H "Content-Type: multipart/form-data" \
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-F "files=@./data/op_1_0320241830.mp4"
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@@ -212,11 +236,12 @@ docker compose up -d
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```bash
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# Single file upload
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curl -X POST ${DATAPREP_SERVICE_ENDPOINT} \
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curl -X POST ${DATAPREP_INGEST_SERVICE_ENDPOINT} \
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-H "Content-Type: multipart/form-data" \
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-F "files=@./file1.mp4"
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# Multiple file upload
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curl -X POST ${DATAPREP_SERVICE_ENDPOINT} \
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curl -X POST ${DATAPREP_INGEST_SERVICE_ENDPOINT} \
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-H "Content-Type: multipart/form-data" \
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-F "files=@./file1.mp4" \
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-F "files=@./file2.mp4" \
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@@ -228,6 +253,7 @@ docker compose up -d
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```bash
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# List available videos
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curl -X 'GET' ${DATAPREP_GET_VIDEO_LIST_ENDPOINT} -H 'accept: application/json'
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# Download available video
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curl -X 'GET' ${DATAPREP_GET_FILE_ENDPOINT}/video_name.mp4 -H 'accept: application/json'
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```
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@@ -235,9 +261,9 @@ docker compose up -d
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2. Embedding Microservice
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```bash
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curl http://${host_ip}:6000/v1/embeddings \
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curl ${EMBEDDING_ENDPOINT} \
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-X POST \
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-d '{"text":"Sample text"}' \
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-d '{"input":"What is the man doing?"}' \
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-H 'Content-Type: application/json'
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```
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@@ -251,16 +277,16 @@ docker compose up -d
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```bash
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export your_embedding=$(python3 -c "import random; embedding = [random.uniform(-1, 1) for _ in range(512)]; print(embedding)")
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curl http://${host_ip}:7000/v1/retrieval \
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curl ${RETRIEVER_ENDPOINT} \
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-X POST \
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-d "{\"text\":\"test\",\"embedding\":${your_embedding}}" \
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-d "{\"text\":\"What is the man doing?\",\"embedding\":${your_embedding},\"search_type\":\"mmr\", \"k\":4}" \
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-H 'Content-Type: application/json'
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```
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4. Reranking Microservice
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```bash
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curl http://${host_ip}:8000/v1/reranking \
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curl ${RERANKING_ENDPOINT} \
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-X 'POST' \
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-H 'accept: application/json' \
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-H 'Content-Type: application/json' \
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@@ -282,7 +308,7 @@ docker compose up -d
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```bash
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curl -X POST \
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"http://${host_ip}:9009/generate?video_url=silence_girl.mp4&start=0.0&duration=9&prompt=What%20is%20the%20person%20doing%3F&max_new_tokens=150" \
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"${LVM_VIDEO_ENDPOINT}?video_url=silence_girl.mp4&start=0.0&duration=9&prompt=What%20is%20the%20person%20doing%3F&max_new_tokens=150" \
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-H "accept: */*" \
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-d ''
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```
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@@ -294,9 +320,9 @@ docker compose up -d
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This service depends on above LLM backend service startup. It will be ready after long time, to wait for them being ready in first startup.
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```bash
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curl http://${host_ip}:9000/v1/lvm\
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curl http://${host_ip}:${LVM_PORT}/v1/lvm \
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-X POST \
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-d '{"video_url":"https://github.com/DAMO-NLP-SG/Video-LLaMA/raw/main/examples/silence_girl.mp4","chunk_start": 0,"chunk_duration": 7,"prompt":"What is the person doing?","max_new_tokens": 50}' \
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-d '{"video_url":"https://github.com/DAMO-NLP-SG/Video-LLaMA/raw/main/examples/silence_girl.mp4","chunk_start": 0,"chunk_duration": 7,"prompt":"What is the man doing?","max_new_tokens": 50}' \
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-H 'Content-Type: application/json'
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```
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@@ -305,7 +331,7 @@ docker compose up -d
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7. MegaService
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```bash
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curl http://${host_ip}:8888/v1/videoqna -H "Content-Type: application/json" -d '{
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curl ${BACKEND_SERVICE_ENDPOINT} -H "Content-Type: application/json" -d '{
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"messages": "What is the man doing?",
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"stream": "True"
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}'
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@@ -343,4 +369,5 @@ To clean the volume:
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```bash
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docker volume rm video-llama-model
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docker volume rm videoqna-cache
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```
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@@ -5,69 +5,74 @@
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services:
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vdms-vector-db:
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image: intellabs/vdms:v2.8.0
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image: intellabs/vdms:latest
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container_name: vdms-vector-db
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ports:
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- "8001:55555"
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- "${VDMS_PORT}:55555"
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dataprep:
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image: ${REGISTRY:-opea}/dataprep:${TAG:-latest}
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container_name: dataprep-vdms-server
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depends_on:
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- vdms-vector-db
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ports:
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- "6007:5000"
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- "${DATAPREP_PORT}: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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MULTIMODAL_DATAPREP: true
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DATAPREP_COMPONENT_NAME: "OPEA_DATAPREP_MULTIMODALVDMS"
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VDMS_HOST: ${VDMS_HOST}
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VDMS_PORT: ${VDMS_PORT}
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INDEX_NAME: ${INDEX_NAME}
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MULTIMODAL_DATAPREP: true
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entrypoint: sh -c 'sleep 15 && python ingest_videos.py'
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COLLECTION_NAME: ${INDEX_NAME}
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HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
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volumes:
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- /home/$USER/.cache/clip:/home/user/.cache/clip
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- /home/$USER/.cache/huggingface/hub:/home/user/.cache/huggingface/hub
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- videoqna-cache:/home/user/.cache
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embedding:
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image: ${REGISTRY:-opea}/embedding-multimodal-clip:${TAG:-latest}
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container_name: embedding-multimodal-server
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container_name: clip-embedding-server
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ports:
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- "6000:6000"
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- "${EMBEDDER_PORT:-6990}:6990"
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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: ${https_proxy}
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volumes:
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- /home/$USER/.cache/huggingface/hub:/home/user/.cache/huggingface/hub
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CLIP_EMBEDDING_ENDPOINT: ${CLIP_EMBEDDING_ENDPOINT}
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EMBEDDING_COMPONENT_NAME: "OPEA_CLIP_EMBEDDING"
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LOGFLAG: ${LOGFLAG:-False}
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restart: unless-stopped
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volumes:
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- videoqna-cache:/home/user/.cache
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retriever:
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image: ${REGISTRY:-opea}/retriever:${TAG:-latest}
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container_name: retriever-vdms-server
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depends_on:
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- vdms-vector-db
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ports:
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- "7000:7000"
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- "${RETRIEVER_PORT}: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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INDEX_NAME: ${INDEX_NAME}
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HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
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RETRIEVER_COMPONENT_NAME: "OPEA_RETRIEVER_VDMS"
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VDMS_INDEX_NAME: ${INDEX_NAME}
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VDMS_HOST: ${VDMS_HOST}
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VDMS_PORT: ${VDMS_PORT}
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VDMS_USE_CLIP: ${USECLIP}
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LOGFLAG: ${LOGFLAG}
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RETRIEVER_COMPONENT_NAME: "OPEA_RETRIEVER_VDMS"
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entrypoint: sh -c 'sleep 30 && python retriever_vdms.py'
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NUMBA_CACHE_DIR: "/tmp/numba_cache"
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restart: unless-stopped
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volumes:
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- /home/$USER/.cache/huggingface/hub:/home/user/.cache/huggingface/hub
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- videoqna-cache:/home/user/.cache
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reranking:
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image: ${REGISTRY:-opea}/reranking:${TAG:-latest}
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container_name: reranking-tei-server
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ports:
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- "8000:8000"
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- "${RERANKING_PORT}:8000"
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ipc: host
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environment:
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no_proxy: ${no_proxy}
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@@ -76,12 +81,13 @@ services:
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CHUNK_DURATION: ${CHUNK_DURATION}
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FILE_SERVER_ENDPOINT: ${DATAPREP_GET_FILE_ENDPOINT}
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DATAPREP_GET_VIDEO_LIST_ENDPOINT: ${DATAPREP_GET_VIDEO_LIST_ENDPOINT}
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RERANK_COMPONENT_NAME: ${RERANK_COMPONENT_NAME:-OPEA_VIDEO_RERANKING}
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restart: unless-stopped
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lvm-video-llama:
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image: ${REGISTRY:-opea}/lvm-video-llama:${TAG:-latest}
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container_name: lvm-video-llama
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ports:
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- "9009:9009"
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- ${VIDEO_LLAMA_PORT:-9009}:9009
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ipc: host
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environment:
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http_proxy: ${http_proxy}
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@@ -89,20 +95,20 @@ services:
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no_proxy: ${no_proxy}
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llm_download: ${LLM_DOWNLOAD}
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volumes:
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- "/home/$USER/.cache:/home/user/.cache"
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- videoqna-cache:/home/user/.cache
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- video-llama-model:/home/user/model
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restart: unless-stopped
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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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ports:
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- "9000:9000"
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- "${LVM_PORT}:9399"
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ipc: host
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environment:
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http_proxy: ${http_proxy}
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https_proxy: ${https_proxy}
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no_proxy: ${no_proxy}
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LVM_COMPONENT_NAME: "OPEA_VIDEO_LLAMA_LVM"
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LVM_COMPONENT_NAME: ${LVM_COMPONENT_NAME:-OPEA_VIDEO_LLAMA_LVM}
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LVM_ENDPOINT: ${LVM_ENDPOINT}
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restart: unless-stopped
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depends_on:
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@@ -119,13 +125,14 @@ services:
|
||||
- lvm-video-llama
|
||||
- lvm
|
||||
ports:
|
||||
- "8888:8888"
|
||||
entrypoint: sh -c 'sleep 45 && python videoqna.py'
|
||||
- "${BACKEND_PORT}:8888"
|
||||
environment:
|
||||
http_proxy: ${http_proxy}
|
||||
https_proxy: ${https_proxy}
|
||||
no_proxy: ${no_proxy}
|
||||
LOGFLAG: ${LOGFLAG:-False}
|
||||
MEGA_SERVICE_HOST_IP: ${MEGA_SERVICE_HOST_IP}
|
||||
BACKEND_PORT: ${BACKEND_PORT}
|
||||
EMBEDDING_SERVICE_HOST_IP: ${EMBEDDING_SERVICE_HOST_IP}
|
||||
RETRIEVER_SERVICE_HOST_IP: ${RETRIEVER_SERVICE_HOST_IP}
|
||||
RERANK_SERVICE_HOST_IP: ${RERANK_SERVICE_HOST_IP}
|
||||
@@ -138,18 +145,23 @@ services:
|
||||
depends_on:
|
||||
- videoqna-xeon-backend-server
|
||||
ports:
|
||||
- "5173:5173"
|
||||
- "${UI_PORT}:5173"
|
||||
environment:
|
||||
https_proxy: ${https_proxy}
|
||||
http_proxy: ${http_proxy}
|
||||
no_proxy: ${no_proxy}
|
||||
BACKEND_SERVICE_ENDPOINT: ${BACKEND_SERVICE_ENDPOINT}
|
||||
BACKEND_HEALTH_CHECK_ENDPOINT: ${BACKEND_HEALTH_CHECK_ENDPOINT}
|
||||
DATAPREP_INGEST_SERVICE_ENDPOINT: ${DATAPREP_INGEST_SERVICE_ENDPOINT}
|
||||
DATAPREP_PORT: ${DATAPREP_PORT}
|
||||
BACKEND_PORT: ${BACKEND_PORT}
|
||||
UI_PORT: ${UI_PORT}
|
||||
ipc: host
|
||||
restart: always
|
||||
volumes:
|
||||
video-llama-model:
|
||||
external: true
|
||||
videoqna-cache:
|
||||
networks:
|
||||
default:
|
||||
driver: bridge
|
||||
|
||||
@@ -8,21 +8,48 @@ popd > /dev/null
|
||||
|
||||
host_ip=$(hostname -I | awk '{print $1}')
|
||||
|
||||
export MEGA_SERVICE_HOST_IP=${host_ip}
|
||||
export EMBEDDING_SERVICE_HOST_IP=${host_ip}
|
||||
export RETRIEVER_SERVICE_HOST_IP=${host_ip}
|
||||
export RERANK_SERVICE_HOST_IP=${host_ip}
|
||||
export LVM_SERVICE_HOST_IP=${host_ip}
|
||||
export HF_TOKEN=${HF_TOKEN}
|
||||
export HUGGINGFACEHUB_API_TOKEN=${HF_TOKEN}
|
||||
|
||||
export LVM_ENDPOINT="http://${host_ip}:9009"
|
||||
export BACKEND_SERVICE_ENDPOINT="http://${host_ip}:8888/v1/videoqna"
|
||||
export BACKEND_HEALTH_CHECK_ENDPOINT="http://${host_ip}:8888/v1/health_check"
|
||||
export DATAPREP_SERVICE_ENDPOINT="http://${host_ip}:6007/v1/dataprep/ingest"
|
||||
export DATAPREP_GET_FILE_ENDPOINT="http://${host_ip}:6007/v1/dataprep/get"
|
||||
export DATAPREP_GET_VIDEO_LIST_ENDPOINT="http://${host_ip}:6007/v1/dataprep/get_videos"
|
||||
|
||||
export VDMS_HOST=${host_ip}
|
||||
export VDMS_PORT=8001
|
||||
export INDEX_NAME="mega-videoqna"
|
||||
export USECLIP=1
|
||||
export LLM_DOWNLOAD="True" # Set to "False" before redeploy LVM server to avoid model download
|
||||
export RERANK_COMPONENT_NAME="OPEA_VIDEO_RERANKING"
|
||||
export LVM_COMPONENT_NAME="OPEA_VIDEO_LLAMA_LVM"
|
||||
export EMBEDDING_COMPONENT_NAME="OPEA_CLIP_EMBEDDING"
|
||||
export USECLIP=1
|
||||
export LOGFLAG=True
|
||||
|
||||
export EMBEDDING_SERVICE_HOST_IP=${host_ip}
|
||||
export LVM_SERVICE_HOST_IP=${host_ip}
|
||||
export MEGA_SERVICE_HOST_IP=${host_ip}
|
||||
export RERANK_SERVICE_HOST_IP=${host_ip}
|
||||
export RETRIEVER_SERVICE_HOST_IP=${host_ip}
|
||||
export VDMS_HOST=${host_ip}
|
||||
|
||||
export BACKEND_PORT=8888
|
||||
export DATAPREP_PORT=6007
|
||||
export EMBEDDER_PORT=6990
|
||||
export MULTIMODAL_CLIP_EMBEDDER_PORT=6991
|
||||
export LVM_PORT=9399
|
||||
export RERANKING_PORT=8000
|
||||
export RETRIEVER_PORT=7000
|
||||
export UI_PORT=5173
|
||||
export VDMS_PORT=8001
|
||||
export VIDEO_LLAMA_PORT=9009
|
||||
|
||||
export BACKEND_HEALTH_CHECK_ENDPOINT="http://${host_ip}:${BACKEND_PORT}/v1/health_check"
|
||||
export BACKEND_SERVICE_ENDPOINT="http://${host_ip}:${BACKEND_PORT}/v1/videoqna"
|
||||
export CLIP_EMBEDDING_ENDPOINT="http://${host_ip}:${MULTIMODAL_CLIP_EMBEDDER_PORT}"
|
||||
export DATAPREP_GET_FILE_ENDPOINT="http://${host_ip}:${DATAPREP_PORT}/v1/dataprep/get"
|
||||
export DATAPREP_GET_VIDEO_LIST_ENDPOINT="http://${host_ip}:${DATAPREP_PORT}/v1/dataprep/get_videos"
|
||||
export DATAPREP_INGEST_SERVICE_ENDPOINT="http://${host_ip}:${DATAPREP_PORT}/v1/dataprep/ingest_videos"
|
||||
export EMBEDDING_ENDPOINT="http://${host_ip}:${EMBEDDER_PORT}/v1/embeddings"
|
||||
export FRONTEND_ENDPOINT="http://${host_ip}:${UI_PORT}/_stcore/health"
|
||||
export LVM_ENDPOINT="http://${host_ip}:${VIDEO_LLAMA_PORT}"
|
||||
export LVM_VIDEO_ENDPOINT="http://${host_ip}:${VIDEO_LLAMA_PORT}/generate"
|
||||
export RERANKING_ENDPOINT="http://${host_ip}:${RERANKING_PORT}/v1/reranking"
|
||||
export RETRIEVER_ENDPOINT="http://${host_ip}:${RETRIEVER_PORT}/v1/retrieval"
|
||||
export TEI_RERANKING_ENDPOINT="http://${host_ip}:${TEI_RERANKING_PORT}"
|
||||
export UI_ENDPOINT="http://${host_ip}:${UI_PORT}/_stcore/health"
|
||||
|
||||
export no_proxy="${NO_PROXY},${host_ip},vdms-vector-db,dataprep-vdms-server,clip-embedding-server,reranking-tei-server,retriever-vdms-server,lvm-video-llama,lvm,videoqna-xeon-backend-server,videoqna-xeon-ui-server"
|
||||
|
||||
Reference in New Issue
Block a user