doc: fix markdown in DocSum/README.md (#477)

* fix multiple H1 headings
* indent content in ordered lists
* remove use of please
* edit use of unnecessary HTML

Signed-off-by: David B. Kinder <david.b.kinder@intel.com>
Co-authored-by: Abolfazl Shahbazi <abolfazl.shahbazi@intel.com>
This commit is contained in:
David Kinder
2024-07-30 18:23:35 -07:00
committed by GitHub
parent 704ec9234d
commit 83712b9f1b

View File

@@ -10,66 +10,66 @@ The architecture for document summarization will be illustrated/described below:
![Workflow](./assets/img/docsum_workflow.png)
# Deploy Document Summarization Service
## Deploy Document Summarization Service
The Document Summarization service can be effortlessly deployed on either Intel Gaudi2 or Intel XEON Scalable Processors.
Based on whether you want to use Docker or Kubernetes, please follow the instructions below.
Based on whether you want to use Docker or Kubernetes, follow the instructions below.
Currently we support two ways of deploying Document Summarization services with docker compose:
1. Start services using the docker image on `docker hub`:
```bash
docker pull opea/docsum:latest
```
```bash
docker pull opea/docsum:latest
```
2. Start services using the docker images `built from source`: [Guide](./docker)
## Setup Environment Variable
### Setup Environment Variable
To set up environment variables for deploying Document Summarization services, follow these steps:
1. Set the required environment variables:
```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"
```
```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"
```
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"
```
```bash
export http_proxy="Your_HTTP_Proxy"
export https_proxy="Your_HTTPs_Proxy"
```
3. Set up other environment variables:
```bash
source ./docker/set_env.sh
```
```bash
source ./docker/set_env.sh
```
## Deploy using Docker
### Deploy using Docker
### Deploy on Gaudi
#### Deploy on Gaudi
Please find corresponding [compose.yaml](./docker/gaudi/compose.yaml).
Find the corresponding [compose.yaml](./docker/gaudi/compose.yaml).
```bash
cd GenAIExamples/DocSum/docker/gaudi/
docker compose -f compose.yaml up -d
```
> Notice: Currently only the <b>Habana Driver 1.16.x</b> is supported for Gaudi.
> Notice: Currently only the **Habana Driver 1.16.x** is supported for Gaudi.
Please refer to the [Gaudi Guide](./docker/gaudi/README.md) to build docker images from source.
Refer to the [Gaudi Guide](./docker/gaudi/README.md) to build docker images from source.
### Deploy on Xeon
#### Deploy on Xeon
Please find corresponding [compose.yaml](./docker/xeon/compose.yaml).
Find the corresponding [compose.yaml](./docker/xeon/compose.yaml).
```bash
cd GenAIExamples/DocSum/docker/xeon/
@@ -78,50 +78,50 @@ docker compose up -d
Refer to the [Xeon Guide](./docker/xeon/README.md) for more instructions on building docker images from source.
## Deploy using Kubernetes with GMC
### Deploy using Kubernetes with GMC
Please refer to [Kubernetes deployment](./kubernetes/README.md)
Refer to [Kubernetes deployment](./kubernetes/README.md)
## Deploy using Kubernetes without GMC
### Deploy using Kubernetes without GMC
Please refer to [Kubernetes deployment](./kubernetes/manifests/README.md)
Refer to [Kubernetes deployment](./kubernetes/manifests/README.md)
## Deploy DocSum into Kubernetes using Helm Chart
### Deploy DocSum into Kubernetes using Helm Chart
Install Helm (version >= 3.15) first. Please refer to the [Helm Installation Guide](https://helm.sh/docs/intro/install/) for more information.
Install Helm (version >= 3.15) first. Refer to the [Helm Installation Guide](https://helm.sh/docs/intro/install/) for more information.
Refer to the [DocSum helm chart](https://github.com/opea-project/GenAIInfra/tree/main/helm-charts/docsum) for instructions on deploying DocSum into Kubernetes on Xeon & Gaudi.
# Consume Document Summarization Service
## Consume Document Summarization Service
Two ways of consuming Document Summarization Service:
1. Use cURL command on terminal
```bash
curl http://${host_ip}:8888/v1/docsum \
-H "Content-Type: application/json" \
-d '{"messages": "Text Embeddings Inference (TEI) is a toolkit for deploying and serving open source text embeddings and sequence classification models. TEI enables high-performance extraction for the most popular models, including FlagEmbedding, Ember, GTE and E5."}'
```
```bash
curl http://${host_ip}:8888/v1/docsum \
-H "Content-Type: application/json" \
-d '{"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."}'
```
2. Access via frontend
To access the frontend, open the following URL in your browser: http://{host_ip}:5173.
To access the frontend, open the following URL in your browser: http://{host_ip}:5173.
By default, the UI runs on port 5173 internally.
By default, the UI runs on port 5173 internally.
# Troubleshooting
## Troubleshooting
1. If you get errors like "Access Denied", please [validate micro service](https://github.com/opea-project/GenAIExamples/tree/main/DocSum/docker/xeon#validate-microservices) first. A simple example:
1. If you get errors like "Access Denied", [validate micro service](https://github.com/opea-project/GenAIExamples/tree/main/DocSum/docker/xeon#validate-microservices) first. A simple example:
```bash
http_proxy=""
curl http://${your_ip}:8008/generate \
-X POST \
-d '{"inputs":"What is Deep Learning?","parameters":{"max_new_tokens":17, "do_sample": true}}' \
-H 'Content-Type: application/json'
```
```bash
http_proxy=""
curl http://${your_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. (Docker only) If all microservices work well, please check the port ${host_ip}:8888, the port may be allocated by other users, you can modify the `compose.yaml`.
2. (Docker only) If all microservices work well, check the port ${host_ip}:8888, the port may be allocated by other users, you can modify the `compose.yaml`.
3. (Docker only) If you get errors like "The container name is in use", please change container name in `compose.yaml`.
3. (Docker only) If you get errors like "The container name is in use", change container name in `compose.yaml`.