Add compose example for FaqGen AMD ROCm (opea-project#1126)

Signed-off-by: artem-astafev <[email protected]> Signed-off-by: Chingis Yundunov <[email protected]>
chyundunovDatamonsters · Nov 21, 2024 · eb9aa41 · eb9aa41
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diff --git a/FaqGen/docker_compose/amd/gpu/rocm/README.md b/FaqGen/docker_compose/amd/gpu/rocm/README.md
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+# Build and deploy FaqGen Application on AMD GPU (ROCm)
+
+## Build images
+
+### Build the LLM Docker Image
+
+```bash
+### Cloning repo
+git clone https://github.com/opea-project/GenAIComps.git
+cd GenAIComps
+
+### Build Docker image
+docker build -t opea/llm-tgi:latest --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f comps/llms/text-generation/tgi/Dockerfile .
+```
+
+## 🚀 Start Microservices and MegaService
+
+### Required Models
+
+Default model is "meta-llama/Meta-Llama-3-8B-Instruct". Change "LLM_MODEL_ID" in environment variables below if you want to use another model.
+
+For gated models, you also need to provide [HuggingFace token](https://huggingface.co/docs/hub/security-tokens) in "HUGGINGFACEHUB_API_TOKEN" environment variable.
+
+### Setup Environment Variables
+
+Since the `compose.yaml` will consume some environment variables, you need to setup them in advance as below.
+
+```bash
+export FAQGEN_LLM_MODEL_ID="meta-llama/Meta-Llama-3-8B-Instruct"
+export HOST_IP=${your_no_proxy}
+export FAQGEN_TGI_SERVICE_PORT=8008
+export FAQGEN_LLM_SERVER_PORT=9000
+export FAQGEN_HUGGINGFACEHUB_API_TOKEN=${your_hf_api_token}
+export FAQGEN_BACKEND_SERVER_PORT=8888
+export FAGGEN_UI_PORT=5173
+```
+
+Note: Please replace with `host_ip` with your external IP address, do not use localhost.
+
+Note: In order to limit access to a subset of GPUs, please pass each device individually using one or more -device /dev/dri/rendered<node>, where <node> is the card index, starting from 128. (https://rocm.docs.amd.com/projects/install-on-linux/en/latest/how-to/docker.html#docker-restrict-gpus)
+
+Example for set isolation for 1 GPU
+
+```
+      - /dev/dri/card0:/dev/dri/card0
+      - /dev/dri/renderD128:/dev/dri/renderD128
+```
+
+Example for set isolation for 2 GPUs
+
+```
+      - /dev/dri/card0:/dev/dri/card0
+      - /dev/dri/renderD128:/dev/dri/renderD128
+      - /dev/dri/card0:/dev/dri/card0
+      - /dev/dri/renderD129:/dev/dri/renderD129
+```
+
+Please find more information about accessing and restricting AMD GPUs in the link (https://rocm.docs.amd.com/projects/install-on-linux/en/latest/how-to/docker.html#docker-restrict-gpus)
+
+### Start Microservice Docker Containers
+
+```bash
+cd GenAIExamples/FaqGen/docker_compose/amd/gpu/rocm/
+docker compose up -d
+```
+
+### Validate Microservices
+
+1. TGI Service
+
+   ```bash
+   curl http://${host_ip}:8008/generate \
+     -X POST \
+     -d '{"inputs":"What is Deep Learning?","parameters":{"max_new_tokens":17, "do_sample": true}}' \
+     -H 'Content-Type: application/json'
+   ```
+
+2. LLM Microservice
+
+   ```bash
+   curl http://${host_ip}:9000/v1/faqgen \
+     -X POST \
+     -d '{"query":"Text Embeddings Inference (TEI) is a toolkit for deploying and serving open source text embeddings and sequence classification models. TEI enables high-performance extraction for the most popular models, including FlagEmbedding, Ember, GTE and E5."}' \
+     -H 'Content-Type: application/json'
+   ```
+
+3. MegaService
+
+   ```bash
+   curl http://${host_ip}:8888/v1/faqgen \
+   -H "Content-Type: multipart/form-data" \
+   -F "messages=Text Embeddings Inference (TEI) is a toolkit for deploying and serving open source text embeddings and sequence classification models. TEI enables high-performance extraction for the most popular models, including FlagEmbedding, Ember, GTE and E5." \
+   -F "max_tokens=32" \
+   -F "stream=false"
+   ```
+
+   Following the validation of all aforementioned microservices, we are now prepared to construct a mega-service.
+
+## 🚀 Launch the UI
+
+Open this URL `http://{host_ip}:5173` in your browser to access the frontend.
+
+![project-screenshot](../../../../assets/img/faqgen_ui_text.png)
+
+## 🚀 Launch the React UI (Optional)
+
+To access the FAQGen (react based) frontend, modify the UI service in the `compose.yaml` file. Replace `faqgen-rocm-ui-server` service with the `faqgen-rocm-react-ui-server` service as per the config below:
+
+```bash
+  faqgen-rocm-react-ui-server:
+    image: opea/faqgen-react-ui:latest
+    container_name: faqgen-rocm-react-ui-server
+    environment:
+      - no_proxy=${no_proxy}
+      - https_proxy=${https_proxy}
+      - http_proxy=${http_proxy}
+    ports:
+      - 5174:80
+    depends_on:
+      - faqgen-rocm-backend-server
+    ipc: host
+    restart: always
+```
+
+Open this URL `http://{host_ip}:5174` in your browser to access the react based frontend.
+
+- Create FAQs from Text input
+  ![project-screenshot](../../../../assets/img/faqgen_react_ui_text.png)
+
+- Create FAQs from Text Files
+  ![project-screenshot](../../../../assets/img/faqgen_react_ui_text_file.png)
diff --git a/FaqGen/docker_compose/amd/gpu/rocm/compose.yaml b/FaqGen/docker_compose/amd/gpu/rocm/compose.yaml
@@ -0,0 +1,80 @@
+# Copyright (C) 2024 Advanced Micro Devices, Inc.
+# SPDX-License-Identifier: Apache-2.0
+
+services:
+  faqgen-tgi-service:
+    image: ghcr.io/huggingface/text-generation-inference:2.3.1-rocm
+    container_name: faggen-tgi-service
+    ports:
+      - "${FAQGEN_TGI_SERVICE_PORT:-8008}:80"
+    environment:
+      no_proxy: ${no_proxy}
+      http_proxy: ${http_proxy}
+      https_proxy: ${https_proxy}
+      TGI_LLM_ENDPOINT: "http://${HOST_IP}:${FAQGEN_TGI_SERVICE_PORT}"
+      HUGGINGFACEHUB_API_TOKEN: ${FAQGEN_HUGGINGFACEHUB_API_TOKEN}
+      HUGGING_FACE_HUB_TOKEN: ${FAQGEN_HUGGINGFACEHUB_API_TOKEN}
+    volumes:
+      - "/var/opea/faqgen-service/data:/data"
+    shm_size: 1g
+    devices:
+      - /dev/kfd:/dev/kfd
+      - /dev/dri/${FAQGEN_CARD_ID}:/dev/dri/${FAQGEN_CARD_ID}
+      - /dev/dri/${FAQGEN_RENDER_ID}:/dev/dri/${FAQGEN_RENDER_ID}
+    cap_add:
+      - SYS_PTRACE
+    group_add:
+      - video
+    security_opt:
+      - seccomp:unconfined
+    ipc: host
+    command: --model-id ${FAQGEN_LLM_MODEL_ID}
+  faqgen-llm-server:
+    image: ${REGISTRY:-opea}/llm-faqgen-tgi:${TAG:-latest}
+    container_name: faqgen-llm-server
+    depends_on:
+      - faqgen-tgi-service
+    ports:
+      - "${FAQGEN_LLM_SERVER_PORT:-9000}:9000"
+    ipc: host
+    environment:
+      no_proxy: ${no_proxy}
+      http_proxy: ${http_proxy}
+      https_proxy: ${https_proxy}
+      TGI_LLM_ENDPOINT: "http://${HOST_IP}:${FAQGEN_TGI_SERVICE_PORT}"
+      HUGGINGFACEHUB_API_TOKEN: ${FAQGEN_HUGGINGFACEHUB_API_TOKEN}
+      HUGGING_FACE_HUB_TOKEN: ${FAQGEN_HUGGINGFACEHUB_API_TOKEN}
+    restart: unless-stopped
+  faqgen-backend-server:
+    image: ${REGISTRY:-opea}/faqgen:${TAG:-latest}
+    container_name: faqgen-backend-server
+    depends_on:
+      - faqgen-tgi-service
+      - faqgen-llm-server
+    ports:
+      - "${FAQGEN_BACKEND_SERVER_PORT:-8888}:8888"
+    environment:
+      - no_proxy=${no_proxy}
+      - https_proxy=${https_proxy}
+      - http_proxy=${http_proxy}
+      - MEGA_SERVICE_HOST_IP=${HOST_IP}
+      - LLM_SERVICE_HOST_IP=${HOST_IP}
+    ipc: host
+    restart: always
+  faqgen-ui-server:
+    image: ${REGISTRY:-opea}/faqgen-ui:${TAG:-latest}
+    container_name: faqgen-ui-server
+    depends_on:
+      - faqgen-backend-server
+    ports:
+      - "${FAGGEN_UI_PORT:-5173}:5173"
+    environment:
+      - no_proxy=${no_proxy}
+      - https_proxy=${https_proxy}
+      - http_proxy=${http_proxy}
+      - DOC_BASE_URL="http://${HOST_IP}:${FAQGEN_BACKEND_SERVER_PORT}/v1/faqgen"
+    ipc: host
+    restart: always
+networks:
+  default:
+    driver: bridge
diff --git a/FaqGen/docker_compose/amd/gpu/rocm/set_env.sh b/FaqGen/docker_compose/amd/gpu/rocm/set_env.sh
@@ -0,0 +1,15 @@
+#!/usr/bin/env bash
+
+# Copyright (C) 2024 Advanced Micro Devices, Inc.
+# SPDX-License-Identifier: Apache-2.0
+
+export FAQGEN_LLM_MODEL_ID="meta-llama/Meta-Llama-3-8B-Instruct"
+export FAQGEN_TGI_SERVICE_IMAGE="ghcr.io/huggingface/text-generation-inference:2.3.1-rocm"
+export HOST_IP=${host_ip}
+export FAQGEN_CARD_ID="card0"
+export FAQGEN_RENDER_ID="renderD128"
+export FAQGEN_TGI_SERVICE_PORT=8883
+export FAQGEN_LLM_SERVER_PORT=9001
+export FAQGEN_HUGGINGFACEHUB_API_TOKEN=${your_hf_api_token}
+export FAQGEN_BACKEND_SERVER_PORT=8881
+export FAGGEN_UI_PORT=5174