David Pomerenke
GH Action pipeline: Huggingface CLI login
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name: Nightly Evaluation Run
on:
schedule:
- cron: '0 3 * * *' # Run at 3am UTC every day
workflow_dispatch: # Allow manual triggering
jobs:
run-evals:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- name: Set up Python
uses: actions/setup-python@v4
with:
python-version: '3.10'
- name: Install dependencies
run: |
curl -LsSf https://astral.sh/uv/install.sh | sh
uv sync --frozen --extra dev
- name: Run evaluations
env:
OPENROUTER_API_KEY: ${{ secrets.OPENROUTER_API_KEY }}
HUGGINGFACE_ACCESS_TOKEN: ${{ secrets.HUGGINGFACE_ACCESS_TOKEN }}
run: |
uv run huggingface-cli login --token ${{ secrets.HUGGINGFACE_ACCESS_TOKEN }}
uv run evals/download_data.py
uv run evals/main.py
- name: Commit changes
run: |
git config --local user.email "github-actions[bot]@users.noreply.github.com"
git config --local user.name "github-actions[bot]"
git add results.json models.json languages.json
git commit -m "Update evaluation results [skip ci]" || echo "No changes to commit"
git push
- name: Upload to Hugging Face
env:
HUGGINGFACE_ACCESS_TOKEN: ${{ secrets.HUGGINGFACE_ACCESS_TOKEN }}
run: |
python -c '
from huggingface_hub import upload_folder
import os
upload_folder(
folder_path=".",
path_in_repo="/",
repo_id="datenlabor-bmz/ai-language-monitor",
repo_type="space",
token=os.environ["HUGGINGFACE_ACCESS_TOKEN"],
commit_message="Upload from nightly evaluation run",
)
'