[Translation] Support manifests and nginx

.github/CODEOWNERS

@@ -3,10 +3,10 @@
 /ChatQnA/ liang1.lv@intel.com
 /CodeGen/ liang1.lv@intel.com
 /CodeTrans/ sihan.chen@intel.com
-/DocSum/ sihan.chen@intel.com
+/DocSum/ letong.han@intel.com
 /DocIndexRetriever/ xuhui.ren@intel.com chendi.xue@intel.com
 /FaqGen/ xinyao.wang@intel.com
-/SearchQnA/ letong.han@intel.com
+/SearchQnA/ sihan.chen@intel.com
 /Translation/ liang1.lv@intel.com
 /VisualQnA/ liang1.lv@intel.com
 /ProductivitySuite/ hoong.tee.yeoh@intel.com

README.md

@@ -45,7 +45,7 @@ Deployment are based on released docker images by default, check [docker image l
 | DocSum            | [Xeon Instructions](DocSum/docker_compose/intel/cpu/xeon/README.md)            | [Gaudi Instructions](DocSum/docker_compose/intel/hpu/gaudi/README.md)      | [DocSum with Manifests](DocSum/kubernetes/intel/README.md)                       | [DocSum with Helm Charts](https://github.com/opea-project/GenAIInfra/tree/main/helm-charts/docsum/README.md)       | [DocSum with GMC](DocSum/kubernetes/intel/README_gmc.md)           |
 | SearchQnA         | [Xeon Instructions](SearchQnA/docker_compose/intel/cpu/xeon/README.md)         | [Gaudi Instructions](SearchQnA/docker_compose/intel/hpu/gaudi/README.md)   | Not Supported                                                                    | Not Supported                                                                                                      | [SearchQnA with GMC](SearchQnA/kubernetes/intel/README_gmc.md)     |
 | FaqGen            | [Xeon Instructions](FaqGen/docker_compose/intel/cpu/xeon/README.md)            | [Gaudi Instructions](FaqGen/docker_compose/intel/hpu/gaudi/README.md)      | [FaqGen with Manifests](FaqGen/kubernetes/intel/README.md)                       | Not Supported                                                                                                      | [FaqGen with GMC](FaqGen/kubernetes/intel/README_gmc.md)           |
-| Translation       | [Xeon Instructions](Translation/docker_compose/intel/cpu/xeon/README.md)       | [Gaudi Instructions](Translation/docker_compose/intel/hpu/gaudi/README.md) | Not Supported                                                                    | Not Supported                                                                                                      | [Translation with GMC](Translation/kubernetes/intel/README_gmc.md) |
+| Translation       | [Xeon Instructions](Translation/docker_compose/intel/cpu/xeon/README.md)       | [Gaudi Instructions](Translation/docker_compose/intel/hpu/gaudi/README.md) | [Translation with Manifests](Translation/kubernetes/intel/README.md)             | Not Supported                                                                                                      | [Translation with GMC](Translation/kubernetes/intel/README_gmc.md) |
 | AudioQnA          | [Xeon Instructions](AudioQnA/docker_compose/intel/cpu/xeon/README.md)          | [Gaudi Instructions](AudioQnA/docker_compose/intel/hpu/gaudi/README.md)    | [AudioQnA with Manifests](AudioQnA/kubernetes/intel/README.md)                   | Not Supported                                                                                                      | [AudioQnA with GMC](AudioQnA/kubernetes/intel/README_gmc.md)       |
 | VisualQnA         | [Xeon Instructions](VisualQnA/docker_compose/intel/cpu/xeon/README.md)         | [Gaudi Instructions](VisualQnA/docker_compose/intel/hpu/gaudi/README.md)   | [VisualQnA with Manifests](VisualQnA/kubernetes/intel/README.md)                 | Not Supported                                                                                                      | [VisualQnA with GMC](VisualQnA/kubernetes/intel/README_gmc.md)     |
 | ProductivitySuite | [Xeon Instructions](ProductivitySuite/docker_compose/intel/cpu/xeon/README.md) | Not Supported                                                              | [ProductivitySuite with Manifests](ProductivitySuite/kubernetes/intel/README.md) | Not Supported                                                                                                      | Not Supported                                                      |

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

@@ -41,30 +41,59 @@ cd GenAIExamples/Translation/ui
 docker build -t opea/translation-ui:latest --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f docker/Dockerfile .
 ```
 
+### 4. Build Nginx Docker Image
+
+```bash
+cd GenAIComps
+docker build -t opea/translation-nginx:latest --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f comps/nginx/Dockerfile .
+```
+
 Then run the command `docker images`, you will have the following Docker Images:
 
 1. `opea/llm-tgi:latest`
 2. `opea/translation:latest`
 3. `opea/translation-ui:latest`
+4. `opea/translation-nginx:latest`
 
 ## 🚀 Start Microservices
 
+### Required Models
+
+By default, the LLM model is set to a default value as listed below:
+
+| Service | Model             |
+| ------- | ----------------- |
+| LLM     | haoranxu/ALMA-13B |
+
+Change the `LLM_MODEL_ID` below for your needs.
+
 ### Setup Environment Variables
 
-Since the `compose.yaml` will consume some environment variables, you need to set up them in advance as below.
+1. Set the required environment variables:
 
-```bash
-export http_proxy=${your_http_proxy}
-export https_proxy=${your_http_proxy}
-export LLM_MODEL_ID="haoranxu/ALMA-13B"
-export TGI_LLM_ENDPOINT="http://${host_ip}:8008"
-export HUGGINGFACEHUB_API_TOKEN=${your_hf_api_token}
-export MEGA_SERVICE_HOST_IP=${host_ip}
-export LLM_SERVICE_HOST_IP=${host_ip}
-export BACKEND_SERVICE_ENDPOINT="http://${host_ip}:8888/v1/translation"
-```
+   ```bash
+   # Example: host_ip="192.168.1.1"
+   export host_ip="External_Public_IP"
+   # Example: no_proxy="localhost, 127.0.0.1, 192.168.1.1"
+   export no_proxy="Your_No_Proxy"
+   export HUGGINGFACEHUB_API_TOKEN="Your_Huggingface_API_Token"
+   # Example: NGINX_PORT=80
+   export NGINX_PORT=${your_nginx_port}
+   ```
+
+2. If you are in a proxy environment, also set the proxy-related environment variables:
+
+   ```bash
+   export http_proxy="Your_HTTP_Proxy"
+   export https_proxy="Your_HTTPs_Proxy"
+   ```
+
+3. Set up other environment variables:
 
-Note: Please replace with `host_ip` with you external IP address, do not use localhost.
+   ```bash
+   cd ../../../
+   source set_env.sh
+   ```
 
 ### Start Microservice Docker Containers
 
@@ -99,6 +128,14 @@ docker compose up -d
         "language_from": "Chinese","language_to": "English","source_language": "我爱机器翻译。"}'
    ```
 
+4. Nginx Service
+
+   ```bash
+   curl http://${host_ip}:${NGINX_PORT}/v1/translation \
+       -H "Content-Type: application/json" \
+       -d '{"language_from": "Chinese","language_to": "English","source_language": "我爱机器翻译。"}'
+   ```
+
 Following the validation of all aforementioned microservices, we are now prepared to construct a mega-service.
 
 ## 🚀 Launch the UI

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

@@ -8,10 +8,12 @@ services:
     ports:
       - "8008:80"
     environment:
+      no_proxy: ${no_proxy}
       http_proxy: ${http_proxy}
       https_proxy: ${https_proxy}
-      TGI_LLM_ENDPOINT: ${TGI_LLM_ENDPOINT}
-      HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
+      HF_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
+      HF_HUB_DISABLE_PROGRESS_BARS: 1
+      HF_HUB_ENABLE_HF_TRANSFER: 0
     volumes:
       - "./data:/data"
     shm_size: 1g
@@ -25,10 +27,13 @@ services:
       - "9000:9000"
     ipc: host
     environment:
+      no_proxy: ${no_proxy}
       http_proxy: ${http_proxy}
       https_proxy: ${https_proxy}
       TGI_LLM_ENDPOINT: ${TGI_LLM_ENDPOINT}
       HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
+      HF_HUB_DISABLE_PROGRESS_BARS: 1
+      HF_HUB_ENABLE_HF_TRANSFER: 0
     restart: unless-stopped
   translation-xeon-backend-server:
     image: ${REGISTRY:-opea}/translation:${TAG:-latest}
@@ -39,6 +44,7 @@ services:
     ports:
       - "8888:8888"
     environment:
+      - no_proxy=${no_proxy}
       - https_proxy=${https_proxy}
       - http_proxy=${http_proxy}
       - MEGA_SERVICE_HOST_IP=${MEGA_SERVICE_HOST_IP}
@@ -53,11 +59,31 @@ services:
     ports:
       - "5173:5173"
     environment:
+      - no_proxy=${no_proxy}
       - https_proxy=${https_proxy}
       - http_proxy=${http_proxy}
       - BASE_URL=${BACKEND_SERVICE_ENDPOINT}
     ipc: host
     restart: always
+  translation-xeon-nginx-server:
+    image: ${REGISTRY:-opea}/translation-nginx:${TAG:-latest}
+    container_name: translation-xeon-nginx-server
+    depends_on:
+      - translation-xeon-backend-server
+      - translation-xeon-ui-server
+    ports:
+      - "${NGINX_PORT:-80}:80"
+    environment:
+      - no_proxy=${no_proxy}
+      - https_proxy=${https_proxy}
+      - http_proxy=${http_proxy}
+      - FRONTEND_SERVICE_IP=${FRONTEND_SERVICE_IP}
+      - FRONTEND_SERVICE_PORT=${FRONTEND_SERVICE_PORT}
+      - BACKEND_SERVICE_NAME=${BACKEND_SERVICE_NAME}
+      - BACKEND_SERVICE_IP=${BACKEND_SERVICE_IP}
+      - BACKEND_SERVICE_PORT=${BACKEND_SERVICE_PORT}
+    ipc: host
+    restart: always
 networks:
   default:
     driver: bridge

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

@@ -29,34 +29,63 @@ docker build -t opea/translation:latest --build-arg https_proxy=$https_proxy --b
 Construct the frontend Docker image using the command below:
 
 ```bash
-cd GenAIExamples/Translation
+cd GenAIExamples/Translation/ui/
 docker build -t opea/translation-ui:latest --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f ./docker/Dockerfile .
 ```
 
+### 4. Build Nginx Docker Image
+
+```bash
+cd GenAIComps
+docker build -t opea/translation-nginx:latest --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f comps/nginx/Dockerfile .
+```
+
 Then run the command `docker images`, you will have the following four Docker Images:
 
 1. `opea/llm-tgi:latest`
 2. `opea/translation:latest`
 3. `opea/translation-ui:latest`
+4. `opea/translation-nginx:latest`
 
 ## 🚀 Start Microservices
 
+### Required Models
+
+By default, the LLM model is set to a default value as listed below:
+
+| Service | Model             |
+| ------- | ----------------- |
+| LLM     | haoranxu/ALMA-13B |
+
+Change the `LLM_MODEL_ID` below for your needs.
+
 ### Setup Environment Variables
 
-Since the `compose.yaml` will consume some environment variables, you need to setup them in advance as below.
+1. Set the required environment variables:
 
-```bash
-export http_proxy=${your_http_proxy}
-export https_proxy=${your_http_proxy}
-export LLM_MODEL_ID="haoranxu/ALMA-13B"
-export TGI_LLM_ENDPOINT="http://${host_ip}:8008"
-export HUGGINGFACEHUB_API_TOKEN=${your_hf_api_token}
-export MEGA_SERVICE_HOST_IP=${host_ip}
-export LLM_SERVICE_HOST_IP=${host_ip}
-export BACKEND_SERVICE_ENDPOINT="http://${host_ip}:8888/v1/translation"
-```
+   ```bash
+   # Example: host_ip="192.168.1.1"
+   export host_ip="External_Public_IP"
+   # Example: no_proxy="localhost, 127.0.0.1, 192.168.1.1"
+   export no_proxy="Your_No_Proxy"
+   export HUGGINGFACEHUB_API_TOKEN="Your_Huggingface_API_Token"
+   # Example: NGINX_PORT=80
+   export NGINX_PORT=${your_nginx_port}
+   ```
+
+2. If you are in a proxy environment, also set the proxy-related environment variables:
+
+   ```bash
+   export http_proxy="Your_HTTP_Proxy"
+   export https_proxy="Your_HTTPs_Proxy"
+   ```
+
+3. Set up other environment variables:
 
-Note: Please replace with `host_ip` with you external IP address, do not use localhost.
+   ```bash
+   cd ../../../
+   source set_env.sh
+   ```
 
 ### Start Microservice Docker Containers
 
@@ -91,6 +120,14 @@ docker compose up -d
         "language_from": "Chinese","language_to": "English","source_language": "我爱机器翻译。"}'
    ```
 
+4. Nginx Service
+
+   ```bash
+   curl http://${host_ip}:${NGINX_PORT}/v1/translation \
+       -H "Content-Type: application/json" \
+       -d '{"language_from": "Chinese","language_to": "English","source_language": "我爱机器翻译。"}'
+   ```
+
 Following the validation of all aforementioned microservices, we are now prepared to construct a mega-service.
 
 ## 🚀 Launch the UI

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

@@ -10,7 +10,6 @@ services:
     environment:
       http_proxy: ${http_proxy}
       https_proxy: ${https_proxy}
-      TGI_LLM_ENDPOINT: ${TGI_LLM_ENDPOINT}
       HF_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
       HF_HUB_DISABLE_PROGRESS_BARS: 1
       HF_HUB_ENABLE_HF_TRANSFER: 0
@@ -36,6 +35,8 @@ services:
       https_proxy: ${https_proxy}
       TGI_LLM_ENDPOINT: ${TGI_LLM_ENDPOINT}
       HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
+      HF_HUB_DISABLE_PROGRESS_BARS: 1
+      HF_HUB_ENABLE_HF_TRANSFER: 0
     restart: unless-stopped
   translation-gaudi-backend-server:
     image: ${REGISTRY:-opea}/translation:${TAG:-latest}
@@ -65,6 +66,25 @@ services:
       - BASE_URL=${BACKEND_SERVICE_ENDPOINT}
     ipc: host
     restart: always
+  translation-gaudi-nginx-server:
+    image: ${REGISTRY:-opea}/translation-nginx:${TAG:-latest}
+    container_name: translation-gaudi-nginx-server
+    depends_on:
+      - translation-gaudi-backend-server
+      - translation-gaudi-ui-server
+    ports:
+      - "${NGINX_PORT:-80}:80"
+    environment:
+      - no_proxy=${no_proxy}
+      - https_proxy=${https_proxy}
+      - http_proxy=${http_proxy}
+      - FRONTEND_SERVICE_IP=${FRONTEND_SERVICE_IP}
+      - FRONTEND_SERVICE_PORT=${FRONTEND_SERVICE_PORT}
+      - BACKEND_SERVICE_NAME=${BACKEND_SERVICE_NAME}
+      - BACKEND_SERVICE_IP=${BACKEND_SERVICE_IP}
+      - BACKEND_SERVICE_PORT=${BACKEND_SERVICE_PORT}
+    ipc: host
+    restart: always
 
 networks:
   default:

Translation/docker_compose/set_env.sh

@@ -0,0 +1,18 @@
+#!/usr/bin/env bash
+
+# Copyright (C) 2024 Intel Corporation
+# SPDX-License-Identifier: Apache-2.0
+
+
+export LLM_MODEL_ID="haoranxu/ALMA-13B"
+export TGI_LLM_ENDPOINT="http://${host_ip}:8008"
+export HUGGINGFACEHUB_API_TOKEN=${your_hf_api_token}
+export MEGA_SERVICE_HOST_IP=${host_ip}
+export LLM_SERVICE_HOST_IP=${host_ip}
+export BACKEND_SERVICE_ENDPOINT="http://${host_ip}:8888/v1/translation"
+export NGINX_PORT=80
+export FRONTEND_SERVICE_IP=${host_ip}
+export FRONTEND_SERVICE_PORT=5173
+export BACKEND_SERVICE_NAME=translation
+export BACKEND_SERVICE_IP=${host_ip}
+export BACKEND_SERVICE_PORT=8888

Translation/docker_image_build/build.yaml

@@ -23,3 +23,9 @@ services:
       dockerfile: comps/llms/text-generation/tgi/Dockerfile
     extends: translation
     image: ${REGISTRY:-opea}/llm-tgi:${TAG:-latest}
+  nginx:
+    build:
+      context: GenAIComps
+      dockerfile: comps/nginx/Dockerfile
+    extends: translation
+    image: ${REGISTRY:-opea}/translation-nginx:${TAG:-latest}

Translation/kubernetes/intel/README.md

@@ -0,0 +1,41 @@
+# Deploy Translation in Kubernetes Cluster
+
+> [NOTE]
+> The following values must be set before you can deploy:
+> HUGGINGFACEHUB_API_TOKEN
+>
+> You can also customize the "MODEL_ID" if needed.
+>
+> You need to make sure you have created the directory `/mnt/opea-models` to save the cached model on the node where the Translation workload is running. Otherwise, you need to modify the `translation.yaml` file to change the `model-volume` to a directory that exists on the node.
+
+## Deploy On Xeon
+
+```
+cd GenAIExamples/Translation/kubernetes/intel/cpu/xeon/manifests
+export HUGGINGFACEHUB_API_TOKEN="YourOwnToken"
+sed -i "s/insert-your-huggingface-token-here/${HUGGINGFACEHUB_API_TOKEN}/g" translation.yaml
+kubectl apply -f translation.yaml
+```
+
+## Deploy On Gaudi
+
+```
+cd GenAIExamples/Translation/kubernetes/intel/hpu/gaudi/manifests
+export HUGGINGFACEHUB_API_TOKEN="YourOwnToken"
+sed -i "s/insert-your-huggingface-token-here/${HUGGINGFACEHUB_API_TOKEN}/g" translation.yaml
+kubectl apply -f translation.yaml
+```
+
+## Verify Services
+
+To verify the installation, run the command `kubectl get pod` to make sure all pods are running.
+
+Then run the command `kubectl port-forward svc/translation 8888:8888` to expose the Translation service for access.
+
+Open another terminal and run the following command to verify the service if working:
+
+```console
+curl http://localhost:8888/v1/translation \
+    -H 'Content-Type: application/json' \
+    -d '{"language_from": "Chinese","language_to": "English","source_language": "我爱机器翻译。"}'
+```