job_vlm_sample_llava.yml

name: visual_language_chat sample - LLaVA

on:
  workflow_call:
    inputs:
      model_id:
        required: true
        type: string
      model_dir:
        required: true
        type: string

env:
  l_u22_ov_link: https://storage.openvinotoolkit.org/repositories/openvino/packages/nightly/2025.1.0-17911-83c047443de/l_openvino_toolkit_ubuntu22_2025.1.0.dev20250116_x86_64.tgz

jobs:
  # visual_language_chat_sample-ubuntu-llava:
  #   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
  #     - uses: ./.github/actions/install_openvino
  #       with:
  #         ov_link: ${{ env.l_u22_ov_link }}
  #     - uses: ./.github/actions/build_app
  #       with:
  #         build_target: 'visual_language_chat py_openvino_genai'
  #     - uses: ./.github/actions/install_python_deps
  #     - name: Download and convert model
  #       run: |
  #         source ./ov/setupvars.sh
  #         optimum-cli export openvino --model ${{ inputs.model_id }} ./${{ inputs.model_dir }}
  #     - name: Download images
  #       run: |
  #         wget https://llava-vl.github.io/static/images/monalisa.jpg
  #     - name: Run visual_language_chat C++ sample
  #       run: >
  #         source ./ov/setupvars.sh
  #         && ./build/samples/cpp/visual_language_chat/visual_language_chat ./${{ inputs.model_dir }} monalisa.jpg
  #         <<< $'Who drew this painting?\nWhen did the painter live?'
  #       timeout-minutes: 4