Add groundedness to output #12
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| name: Build and deploy container app to Azure Web App - HDeXpert | |
| on: | |
| push: | |
| branches: | |
| - main | |
| workflow_dispatch: | |
| jobs: | |
| code-quality-checks: | |
| runs-on: ubuntu-latest | |
| steps: | |
| - uses: actions/checkout@v3 | |
| - uses: actions/setup-python@v4 | |
| with: | |
| python-version: "3.11.4" | |
| - uses: pre-commit/[email protected] | |
| test: | |
| runs-on: 'ubuntu-latest' | |
| needs: code-quality-checks | |
| env: | |
| OPENAI_API_TYPE: ${{ secrets.OPENAI_API_TYPE }} | |
| OPENAI_API_ENDPOINT: ${{ secrets.OPENAI_API_ENDPOINT }} | |
| OPENAI_API_VERSION: ${{ secrets.OPENAI_API_VERSION }} | |
| OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }} | |
| ASSISTANT_ID: ${{ secrets.ASSISTANT_ID }} | |
| MODEL: ${{ secrets.MODEL }} | |
| steps: | |
| - uses: actions/checkout@v3 | |
| - uses: actions/setup-python@v4 | |
| with: | |
| python-version: "3.11.4" | |
| - run: | | |
| pip install -r ./flows/reliefweb_chat/requirements.txt | |
| - run: | | |
| env | |
| cd flows/reliefweb_chat | |
| #pf connection create --file ./openai.yaml --set api_key=${{ secrets.OPENAI_API_KEY }} --name open_ai_connection | |
| pf connection create --file ./azure_content_safety_connection.yaml --set api_key=${{ secrets.CONTENT_SAFETY_KEY }} --set endpoint=${{ secrets.CONTENT_SAFETY_ENDPOINT }} --name azure_content_safety_connection | |
| pf connection create --file ./azure_openai.yaml --set api_key=${{ secrets.OPENAI_API_KEY }} --set api_base=${{ secrets.OPENAI_API_ENDPOINT }} --name azure_openai | |
| pf run create --flow . --data data.jsonl --stream --column-mapping chat_history='${data.chat_history}' question='${data.question}' context='${data.context}' --name base_run | |
| pf run show-details -n base_run | |
| pf run show-metrics -n base_run | |
| # pf run visualize -n base_run | |
| python3 check_evaluation_results.py | |