Files
GenAIExamples/AvatarChatbot/tests/test_compose_on_gaudi.sh

153 lines
4.8 KiB
Bash
Executable File

#!/bin/bash
# Copyright (C) 2024 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
set -e
IMAGE_REPO=${IMAGE_REPO:-"opea"}
IMAGE_TAG=${IMAGE_TAG:-"latest"}
echo "REGISTRY=IMAGE_REPO=${IMAGE_REPO}"
echo "TAG=IMAGE_TAG=${IMAGE_TAG}"
export REGISTRY=${IMAGE_REPO}
export TAG=${IMAGE_TAG}
export MODEL_CACHE=${model_cache:-"./data"}
WORKPATH=$(dirname "$PWD")
LOG_PATH="$WORKPATH/tests"
if ls $LOG_PATH/*.log 1> /dev/null 2>&1; then
rm $LOG_PATH/*.log
echo "Log files removed."
else
echo "No log files to remove."
fi
ip_address=$(hostname -I | awk '{print $1}')
function build_docker_images() {
opea_branch=${opea_branch:-"main"}
cd $WORKPATH/docker_image_build
git clone --depth 1 --branch ${opea_branch} https://github.com/opea-project/GenAIComps.git
pushd GenAIComps
echo "GenAIComps test commit is $(git rev-parse HEAD)"
docker build --no-cache -t ${REGISTRY}/comps-base:${TAG} --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f Dockerfile .
popd && sleep 1s
echo "Build all the images with --no-cache, check docker_image_build.log for details..."
service_list="avatarchatbot whisper-gaudi speecht5-gaudi wav2lip-gaudi animation"
docker compose -f build.yaml build ${service_list} --no-cache > ${LOG_PATH}/docker_image_build.log
docker pull ghcr.io/huggingface/tgi-gaudi:2.0.6
docker images && sleep 1s
}
function start_services() {
cd $WORKPATH/docker_compose/intel/hpu/gaudi
export HUGGINGFACEHUB_API_TOKEN=$HUGGINGFACEHUB_API_TOKEN
export host_ip=$(hostname -I | awk '{print $1}')
export LLM_MODEL_ID=Intel/neural-chat-7b-v3-3
export WAV2LIP_ENDPOINT=http://$host_ip:7860
export MEGA_SERVICE_HOST_IP=${host_ip}
export WHISPER_SERVER_HOST_IP=${host_ip}
export WHISPER_SERVER_PORT=7066
export SPEECHT5_SERVER_HOST_IP=${host_ip}
export SPEECHT5_SERVER_PORT=7055
export LLM_SERVER_HOST_IP=${host_ip}
export LLM_SERVER_PORT=3006
export ANIMATION_SERVICE_HOST_IP=${host_ip}
export ANIMATION_SERVICE_PORT=3008
export MEGA_SERVICE_PORT=8888
export DEVICE="hpu"
export WAV2LIP_PORT=7860
export INFERENCE_MODE='wav2lip+gfpgan'
export CHECKPOINT_PATH='/usr/local/lib/python3.10/dist-packages/Wav2Lip/checkpoints/wav2lip_gan.pth'
export FACE="/home/user/comps/animation/src/assets/img/avatar1.jpg"
# export AUDIO='assets/audio/eg3_ref.wav' # audio file path is optional, will use base64str in the post request as input if is 'None'
export AUDIO='None'
export FACESIZE=96
export OUTFILE="/outputs/result.mp4"
export GFPGAN_MODEL_VERSION=1.4 # latest version, can roll back to v1.3 if needed
export UPSCALE_FACTOR=1
export FPS=10
# Start Docker Containers
docker compose up -d > ${LOG_PATH}/start_services_with_compose.log
n=0
until [[ "$n" -ge 200 ]]; do
docker logs tgi-gaudi-server > $LOG_PATH/tgi_service_start.log && docker logs whisper-service 2>&1 | tee $LOG_PATH/whisper_service_start.log && docker logs speecht5-service 2>&1 | tee $LOG_PATH/speecht5_service_start.log
if grep -q Connected $LOG_PATH/tgi_service_start.log && grep -q running $LOG_PATH/whisper_service_start.log && grep -q running $LOG_PATH/speecht5_service_start.log; then
break
fi
sleep 10s
n=$((n+1))
done
echo "All services are up and running"
# sleep 5s
sleep 1m
}
function validate_megaservice() {
cd $WORKPATH
result=$(http_proxy="" curl http://${ip_address}:3009/v1/avatarchatbot -X POST -d @assets/audio/sample_whoareyou.json -H 'Content-Type: application/json')
echo "result is === $result"
if [[ $result == *"mp4"* ]]; then
echo "Result correct."
else
echo "Result wrong, print docker logs."
docker logs whisper-service > $LOG_PATH/whisper-service.log
docker logs speecht5-service > $LOG_PATH/speecht5-service.log
docker logs tgi-gaudi-server > $LOG_PATH/tgi-gaudi-server.log
docker logs wav2lip-service > $LOG_PATH/wav2lip-service.log
docker logs animation-gaudi-server > $LOG_PATH/animation-gaudi-server.log
echo "Result wrong."
exit 1
fi
}
function stop_docker() {
cd $WORKPATH/docker_compose/intel/hpu/gaudi
docker compose down
}
function main() {
echo "::group::stop_docker"
stop_docker
echo "::endgroup::"
docker builder prune --all -f
docker image prune -f
echo "::group::build_docker_images"
if [[ "$IMAGE_REPO" == "opea" ]]; then build_docker_images; fi
echo "::endgroup::"
echo "::group::start_services"
start_services
echo "::endgroup::"
echo "::group::validate_megaservice"
validate_megaservice
echo "::endgroup::"
echo "::group::stop_docker"
stop_docker
echo "::endgroup::"
docker builder prune --all -f
docker image prune -f
}
main