71e3c57366
Update all the names for classes and files in llm comps to follow the standard format, related GenAIComps PR opea-project/GenAIComps#1162 Signed-off-by: Xinyao Wang <xinyao.wang@intel.com>
134 lines
4.6 KiB
Markdown
134 lines
4.6 KiB
Markdown
# Build and deploy FaqGen Application on AMD GPU (ROCm)
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## Build images
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### Build the LLM Docker Image
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```bash
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### Cloning repo
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git clone https://github.com/opea-project/GenAIComps.git
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cd GenAIComps
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### Build Docker image
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docker build -t opea/llm-textgen:latest --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f comps/llms/src/text-generation/Dockerfile .
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```
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## 🚀 Start Microservices and MegaService
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### Required Models
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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.
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For gated models, you also need to provide [HuggingFace token](https://huggingface.co/docs/hub/security-tokens) in "HUGGINGFACEHUB_API_TOKEN" environment variable.
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### Setup Environment Variables
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Since the `compose.yaml` will consume some environment variables, you need to setup them in advance as below.
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```bash
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export FAQGEN_LLM_MODEL_ID="meta-llama/Meta-Llama-3-8B-Instruct"
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export HOST_IP=${your_no_proxy}
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export FAQGEN_TGI_SERVICE_PORT=8008
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export FAQGEN_LLM_SERVER_PORT=9000
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export FAQGEN_HUGGINGFACEHUB_API_TOKEN=${your_hf_api_token}
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export FAQGEN_BACKEND_SERVER_PORT=8888
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export FAGGEN_UI_PORT=5173
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export LLM_ENDPOINT="http://${HOST_IP}:${FAQGEN_TGI_SERVICE_PORT}"
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export FAQGen_COMPONENT_NAME="OpeaFaqGenTgi"
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```
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Note: Please replace with `host_ip` with your external IP address, do not use localhost.
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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)
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Example for set isolation for 1 GPU
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```
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- /dev/dri/card0:/dev/dri/card0
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- /dev/dri/renderD128:/dev/dri/renderD128
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```
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Example for set isolation for 2 GPUs
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```
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- /dev/dri/card0:/dev/dri/card0
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- /dev/dri/renderD128:/dev/dri/renderD128
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- /dev/dri/card0:/dev/dri/card0
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- /dev/dri/renderD129:/dev/dri/renderD129
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```
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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)
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### Start Microservice Docker Containers
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```bash
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cd GenAIExamples/FaqGen/docker_compose/amd/gpu/rocm/
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docker compose up -d
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```
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### Validate Microservices
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1. TGI Service
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```bash
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curl http://${host_ip}:8008/generate \
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-X POST \
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-d '{"inputs":"What is Deep Learning?","parameters":{"max_new_tokens":17, "do_sample": true}}' \
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-H 'Content-Type: application/json'
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```
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2. LLM Microservice
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```bash
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curl http://${host_ip}:9000/v1/faqgen \
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-X POST \
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-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."}' \
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-H 'Content-Type: application/json'
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```
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3. MegaService
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```bash
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curl http://${host_ip}:8888/v1/faqgen \
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-H "Content-Type: multipart/form-data" \
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-F "messages=Text Embeddings Inference (TEI) is a toolkit for deploying and serving open source text embeddings and sequence classification models. TEI enables high-performance extraction for the most popular models, including FlagEmbedding, Ember, GTE and E5." \
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-F "max_tokens=32" \
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-F "stream=false"
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```
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Following the validation of all aforementioned microservices, we are now prepared to construct a mega-service.
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## 🚀 Launch the UI
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Open this URL `http://{host_ip}:5173` in your browser to access the frontend.
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## 🚀 Launch the React UI (Optional)
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To access the FAQGen (react based) frontend, modify the UI service in the `compose.yaml` file. Replace `faqgen-rocm-ui-server` service with the `faqgen-rocm-react-ui-server` service as per the config below:
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```bash
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faqgen-rocm-react-ui-server:
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image: opea/faqgen-react-ui:latest
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container_name: faqgen-rocm-react-ui-server
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environment:
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- no_proxy=${no_proxy}
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- https_proxy=${https_proxy}
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- http_proxy=${http_proxy}
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ports:
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- 5174:80
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depends_on:
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- faqgen-rocm-backend-server
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ipc: host
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restart: always
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```
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Open this URL `http://{host_ip}:5174` in your browser to access the react based frontend.
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- Create FAQs from Text input
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- Create FAQs from Text Files
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