Refactor lvm related examples (#1333)

MultimodalQnA/docker_compose/intel/cpu/xeon/README.md

@@ -36,7 +36,7 @@ lvm-llava
 ================
 Port 8399 - Open to 0.0.0.0/0
 
-lvm-llava-svc
+lvm
 ===
 Port 9399 - Open to 0.0.0.0/0
 
@@ -132,13 +132,13 @@ docker build --no-cache -t opea/retriever-redis:latest --build-arg https_proxy=$
 Build lvm-llava image
 
 ```bash
-docker build --no-cache -t opea/lvm-llava:latest --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f comps/lvms/llava/dependency/Dockerfile .
+docker build --no-cache -t opea/lvm-llava:latest --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f comps/lvms/src/integrations/dependency/llava/Dockerfile .
 ```
 
-Build lvm-llava-svc microservice image
+Build lvm microservice image
 
 ```bash
-docker build --no-cache -t opea/lvm-llava-svc:latest --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f comps/lvms/llava/Dockerfile .
+docker build --no-cache -t opea/lvm:latest --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f comps/lvms/src/Dockerfile .
 ```
 
 ### 4. Build dataprep-multimodal-redis Image
@@ -179,7 +179,7 @@ cd ../../../
 Then run the command `docker images`, you will have the following 11 Docker Images:
 
 1. `opea/dataprep-multimodal-redis:latest`
-2. `opea/lvm-llava-svc:latest`
+2. `opea/lvm:latest`
 3. `opea/lvm-llava:latest`
 4. `opea/retriever-multimodal-redis:latest`
 5. `opea/whisper:latest`
@@ -271,7 +271,7 @@ curl http://${host_ip}:${LLAVA_SERVER_PORT}/generate \
      -d '{"prompt":"Describe the image please.", "img_b64_str": "iVBORw0KGgoAAAANSUhEUgAAAAoAAAAKCAYAAACNMs+9AAAAFUlEQVR42mP8/5+hnoEIwDiqkL4KAcT9GO0U4BxoAAAAAElFTkSuQmCC"}'
 ```
 
-6. lvm-llava-svc
+6. lvm
 
 ```bash
 curl http://${host_ip}:9399/v1/lvm \

MultimodalQnA/docker_compose/intel/cpu/xeon/compose.yaml

@@ -100,9 +100,9 @@ services:
       https_proxy: ${https_proxy}
     entrypoint: ["python", "llava_server.py", "--device", "cpu", "--model_name_or_path", $LVM_MODEL_ID]
     restart: unless-stopped
-  lvm-llava-svc:
-    image: ${REGISTRY:-opea}/lvm-llava-svc:${TAG:-latest}
-    container_name: lvm-llava-svc
+  lvm:
+    image: ${REGISTRY:-opea}/lvm:${TAG:-latest}
+    container_name: lvm
     depends_on:
       - lvm-llava
     ports:
@@ -112,6 +112,7 @@ services:
       no_proxy: ${no_proxy}
       http_proxy: ${http_proxy}
       https_proxy: ${https_proxy}
+      LVM_COMPONENT_NAME: "OPEA_LLAVA_LVM"
       LVM_ENDPOINT: ${LVM_ENDPOINT}
     restart: unless-stopped
   multimodalqna:
@@ -122,7 +123,7 @@ services:
       - dataprep-multimodal-redis
       - embedding
       - retriever-redis
-      - lvm-llava-svc
+      - lvm
     ports:
       - "8888:8888"
     environment:

MultimodalQnA/docker_compose/intel/hpu/gaudi/README.md

@@ -86,10 +86,10 @@ Build TGI Gaudi image
 docker pull ghcr.io/huggingface/tgi-gaudi:2.0.6
 ```
 
-Build lvm-tgi microservice image
+Build lvm microservice image
 
 ```bash
-docker build --no-cache -t opea/lvm-tgi:latest --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f comps/lvms/tgi-llava/Dockerfile .
+docker build --no-cache -t opea/lvm:latest --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f comps/lvms/src/Dockerfile .
 ```
 
 ### 4. Build dataprep-multimodal-redis Image
@@ -128,7 +128,7 @@ docker build --no-cache -t opea/multimodalqna-ui:latest --build-arg https_proxy=
 Then run the command `docker images`, you will have the following 11 Docker Images:
 
 1. `opea/dataprep-multimodal-redis:latest`
-2. `opea/lvm-tgi:latest`
+2. `opea/lvm:latest`
 3. `ghcr.io/huggingface/tgi-gaudi:2.0.6`
 4. `opea/retriever-multimodal-redis:latest`
 5. `opea/whisper:latest`
@@ -220,7 +220,7 @@ curl http://${host_ip}:${LLAVA_SERVER_PORT}/generate \
     -H 'Content-Type: application/json'
 ```
 
-6. lvm-tgi
+6. lvm
 
 ```bash
 curl http://${host_ip}:9399/v1/lvm \
@@ -274,7 +274,7 @@ curl --silent --write-out "HTTPSTATUS:%{http_code}" \
     -F "files=@./${audio_fn}"
 ```
 
-Also, test dataprep microservice with generating an image caption using lvm-tgi
+Also, test dataprep microservice with generating an image caption using lvm
 
 ```bash
 curl --silent --write-out "HTTPSTATUS:%{http_code}" \

MultimodalQnA/docker_compose/intel/hpu/gaudi/compose.yaml

@@ -24,7 +24,7 @@ services:
     container_name: dataprep-multimodal-redis
     depends_on:
       - redis-vector-db
-      - lvm-tgi
+      - lvm
     ports:
       - "6007:6007"
     environment:
@@ -115,9 +115,9 @@ services:
     ipc: host
     command: --model-id ${LVM_MODEL_ID} --max-input-tokens 3048 --max-total-tokens 4096
     restart: unless-stopped
-  lvm-tgi:
-    image: ${REGISTRY:-opea}/lvm-tgi:${TAG:-latest}
-    container_name: lvm-tgi
+  lvm:
+    image: ${REGISTRY:-opea}/lvm:${TAG:-latest}
+    container_name: lvm
     depends_on:
       - tgi-gaudi
     ports:
@@ -127,6 +127,7 @@ services:
       no_proxy: ${no_proxy}
       http_proxy: ${http_proxy}
       https_proxy: ${https_proxy}
+      LVM_COMPONENT_NAME: "OPEA_TGI_LLAVA_LVM"
       LVM_ENDPOINT: ${LVM_ENDPOINT}
       HF_HUB_DISABLE_PROGRESS_BARS: 1
       HF_HUB_ENABLE_HF_TRANSFER: 0
@@ -139,7 +140,7 @@ services:
       - dataprep-multimodal-redis
       - embedding
       - retriever-redis
-      - lvm-tgi
+      - lvm
     ports:
       - "8888:8888"
     environment: