use official docker image (#10)

Signed-off-by: lvliang-intel <liang1.lv@intel.com>

Author: lvliang-intel

ChatQnA/README.md

@@ -3,7 +3,16 @@ This ChatQnA use case performs RAG using LangChain, Redis vectordb and Text Gene
 # Environment Setup
 To use [🤗 text-generation-inference](https://github.com/huggingface/text-generation-inference) on Habana Gaudi/Gaudi2, please follow these steps:
 
-## Build TGI Gaudi Docker Image
+## Prepare Docker
+
+Getting started is straightforward with the official Docker container. Simply pull the image using:
+
+```bash
+docker pull ghcr.io/huggingface/tgi-gaudi:1.2.1
+```
+
+Alternatively, you can build the Docker image yourself with:
+
 ```bash
 bash ./serving/tgi_gaudi/build_docker.sh
 ```

ChatQnA/serving/tgi_gaudi/launch_tgi_service.sh

@@ -27,9 +27,9 @@ volume=$PWD/data
 
 # Build the Docker run command based on the number of cards
 if [ "$num_cards" -eq 1 ]; then
-    docker_cmd="docker run -p $port_number:80 -v $volume:/data --runtime=habana -e HABANA_VISIBLE_DEVICES=all -e OMPI_MCA_btl_vader_single_copy_mechanism=none --cap-add=sys_nice --ipc=host -e HTTPS_PROXY=$https_proxy -e HTTP_PROXY=$https_proxy tgi_gaudi --model-id $model_name"
+    docker_cmd="docker run -p $port_number:80 -v $volume:/data --runtime=habana -e HABANA_VISIBLE_DEVICES=all -e OMPI_MCA_btl_vader_single_copy_mechanism=none --cap-add=sys_nice --ipc=host -e HTTPS_PROXY=$https_proxy -e HTTP_PROXY=$https_proxy ghcr.io/huggingface/tgi-gaudi --model-id $model_name"
 else
-    docker_cmd="docker run -p $port_number:80 -v $volume:/data --runtime=habana -e PT_HPU_ENABLE_LAZY_COLLECTIVES=true -e HABANA_VISIBLE_DEVICES=all -e OMPI_MCA_btl_vader_single_copy_mechanism=none --cap-add=sys_nice --ipc=host -e HTTPS_PROXY=$https_proxy -e HTTP_PROXY=$https_proxy tgi_gaudi --model-id $model_name --sharded true --num-shard $num_cards"
+    docker_cmd="docker run -p $port_number:80 -v $volume:/data --runtime=habana -e PT_HPU_ENABLE_LAZY_COLLECTIVES=true -e HABANA_VISIBLE_DEVICES=all -e OMPI_MCA_btl_vader_single_copy_mechanism=none --cap-add=sys_nice --ipc=host -e HTTPS_PROXY=$https_proxy -e HTTP_PROXY=$https_proxy ghcr.io/huggingface/tgi-gaudi --model-id $model_name --sharded true --num-shard $num_cards"
 fi
 
 # Execute the Docker run command