update_groovy_doc_on_commit

ci/build_test_OnCommit.groovy

@@ -340,7 +340,7 @@ pipeline {
                       sh "pwd"
                       def pwd = sh(returnStdout:true, script: "pwd").strip()
                       def ovms_c_repo_path = sh(returnStdout:true, script: "cd .. && pwd").strip()
-                      def test_doc_files_str = test_doc_files_linux.split('\n').join(' or ')
+                      def test_doc_files_str = test_doc_files_linux.split('\n').collect { 'U-' + it }.join(' or ')
                       sh "make create-venv && rm -f tests/functional && ln -s ${pwd}/../tests/functional tests/functional"
                       def cmd_venv_activate = ". .venv/bin/activate"
                       def cmd_export = "export TT_OVMS_C_REPO_PATH=../ && export TT_RUN_REGRESSION_TESTS=True && export TT_REGRESSION_WEEKLY_TESTS=True && export TT_TARGET_DEVICE=CPU,GPU,NPU && export TT_ENABLE_UAT_TESTS=True && export TT_ENABLE_SMOKE_TESTS=False && export TT_OVMS_C_REPO_PATH=${ovms_c_repo_path} && export TT_LOGGING_LEVEL_OVMS=DEBUG && export TT_WAIT_FOR_MESSAGES_TIMEOUT=1500 && export CORE_BRANCH=${env.CHANGE_BRANCH ?: 'main'}"
@@ -403,7 +403,7 @@ pipeline {
                   script {
                     dir ('documentation_tests') {
                       checkout scmGit(branches: [[name: validation_branch]], userRemoteConfigs: [[credentialsId: 'workflow-lab', url: 'https://github.com/intel-innersource/frameworks.ai.openvino.model-server.tests.git']])
-                      def test_doc_files_str = test_doc_files_windows.split('\n').join(' or ')
+                      def test_doc_files_str = test_doc_files_windows.split('\n').collect { 'U-' + it }.join(' or ')
                       def current_path = bat(returnStdout: true, script: 'cd').trim().split('\n').last().trim()
                       def ovms_c_repo_path = bat(returnStdout: true, script: 'cd .. && cd').trim().split('\n').last().trim()
                       def cmd_link_ovms = "(if exist ${current_path}\\tests\\functional rmdir ${current_path}\\tests\\functional) && mklink /D ${current_path}\\tests\\functional ${ovms_c_repo_path}\\tests\\functional"

demos/age_gender_recognition/python/README.md

@@ -30,7 +30,7 @@ Assuming you have unpacked model server package, make sure to:
 
 as mentioned in [deployment guide](../../../docs/deploying_server_baremetal.md), in every new shell that will start OpenVINO Model Server.
 ```bat
-ovms --model_path model --model_name age_gender --port 9000 --rest_port 8000
+ovms --model_path model --model_name age_gender --port 9000 --rest_port 8000 --target_device CPU
 ```
 :::
 #### Requesting the Service

demos/common/python/requirements.txt

@@ -1,4 +1,5 @@
 futures==3.1.1
 opencv-python>=4.8.1.78
+requests==2.34.2
 tritonclient[grpc]
 numpy<2.0.0

demos/face_detection/python/README.md

@@ -91,7 +91,7 @@ Assuming you have unpacked model server package, make sure to:
 
 as mentioned in [deployment guide](../../../docs/deploying_server_baremetal.md), in every new shell that will start OpenVINO Model Server.
 ```bat
-ovms --model_path model --model_name face-detection --port 9000  --shape auto
+ovms --model_path model --model_name face-detection --port 9000  --shape auto --target_device CPU
 ```
 :::
 Run the client:

demos/universal-sentence-encoder/README.md

@@ -57,7 +57,7 @@ on every shell that will start OpenVINO Model Server.
 
 And start Model Server using the following command:
 ```bat
-ovms --model_name usem --model_path universal-sentence-encoder-multilingual/ --plugin_config "{\"NUM_STREAMS\": 1}" --port 9000 --rest_port 8000
+ovms --model_name usem --model_path universal-sentence-encoder-multilingual/ --plugin_config "{\"NUM_STREAMS\": 1}" --port 9000 --rest_port 8000 --target_device CPU
 ```
 
 ## Send string data as inference request

docs/image_generation/reference.md

@@ -223,7 +223,7 @@ Each individual adapter can optionally specify a default alpha weight by appendi
 
 The alpha value controls how strongly the adapter influences generation (default: `1.0`). Examples:
 
-```bash
+```text
 # Linux - adapter with alpha 0.6
 --source_loras="pokemon=/models/loras/pokemon.safetensors:0.6"
 
@@ -240,11 +240,14 @@ The alpha value controls how strongly the adapter influences generation (default
 
 **Example:**
 ```bash
-ovms --rest_port 8000 \
+mkdir -p ${HOME}/models
+docker run -d -p 8000:8000 --rm --user $(id -u):$(id -g) -v ${HOME}/models:/models:rw \
+  openvino/model_server:latest \
+  --rest_port 8000 \
   --model_repository_path /models/ \
   --task image_generation \
   --source_model stabilityai/stable-diffusion-xl-base-1.0 \
-  --source_loras "xray=DoctorDiffusion/doctor-diffusion-s-xray-xl-lora@DD-xray-v1.safetensors,ukiyo=KappaNeuro/ukiyo-e-art@Ukiyo-e Art.safetensors,vector=DoctorDiffusion/doctor-diffusion-s-controllable-vector-art-xl-lora@DD-vector-v2.safetensors"
+  --source_loras "xray=DoctorDiffusion/doctor-diffusion-s-xray-xl-lora@DD-xray-v1.safetensors,ukiyo=KappaNeuro/ukiyo-e-art@Ukiyo-e%20Art.safetensors,vector=DoctorDiffusion/doctor-diffusion-s-controllable-vector-art-xl-lora@DD-vector-v2.safetensors"
 ```
 
 > **Important:** LoRA adapters must be compatible with the base model architecture. For example, SDXL adapters can only be used with an SDXL base model.

docs/model_server_rest_api_tokenizer.md

@@ -6,7 +6,7 @@ Example usage:
 
 Deploy OVMS with LLM, VLM or embedding model:
 ```bash
-mkdir models
+mkdir -p ${HOME}/models
 # in case GPU is available
 export GPU_ARGS=$(if ls /dev/dri/render* >/dev/null 2>&1; then echo "--device /dev/dri --group-add $(stat -c '%g' /dev/dri/render* | head -n1)"; fi)