Add test for vlm sample with llava model

Author: yatarkan

.github/workflows/causal_lm_cpp.yml

@@ -681,6 +681,39 @@ jobs:
           diff pred2.txt ref.txt
           echo "Chat sample python" passed
 
+  py-vlm_chat_sample-ubuntu:
+    runs-on: ubuntu-22.04-16-cores
+    steps:
+      - uses: actions/checkout@v4
+        with:
+          submodules: recursive
+      - uses: actions/setup-python@v4
+        with:
+          python-version: 3.11
+      - name: Install OpenVINO
+        run: |
+          mkdir ./ov/
+          curl ${{ env.l_ov_link }} | tar --directory ./ov/ --strip-components 1 -xz
+          sudo ./ov/install_dependencies/install_openvino_dependencies.sh
+      - name: Build app
+        run: |
+          source ./ov/setupvars.sh
+          cmake -DCMAKE_BUILD_TYPE=Release -S ./ -B ./build/
+          cmake --build ./build/ --config Release --target visual_language_chat -j
+      - name: Download and convert LLaVa 1.5 model and an image
+        run: |
+          source ./ov/setupvars.sh
+          python -m pip install ./thirdparty/openvino_tokenizers/[transformers] --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly
+          python -m pip install --upgrade-strategy eager -r ./samples/requirements.txt --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly
+          # Install optimum-intel from fork with OVModelForVisionCausalLM support
+          python -m pip install "optimum-intel[openvino]"@git+https://github.com/eaidova/optimum-intel.git@ea/llava_model
+          optimum-cli export openvino --model llava-hf/llava-1.5-7b-hf ./llava_1_5_7b_ov/
+          wget https://llava-vl.github.io/static/images/monalisa.jpg
+      - run: >
+          source ./ov/setupvars.sh
+          && timeout 120s ./build/samples/cpp/visual_language_chat/visual_language_chat ./llava_1_5_7b_ov/ monalisa.jpg
+          <<< $'Who drew this painting?\nWhen did the painter live?'
+
   cpp-continuous-batching-ubuntu:
     runs-on: ubuntu-20.04-8-cores
     defaults: