.github/workflows/deploy.yml

name: Deploy to Hugging Face Spaces

on:
  push:
    branches: [master]
  workflow_dispatch:

jobs:
  sync:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
        with:
          fetch-depth: 0
          lfs: true

      - name: Install huggingface_hub
        run: pip install huggingface_hub

      - name: Upload to Hugging Face Spaces
        env:
          HF_TOKEN: ${{ secrets.HF_TOKEN }}
          HF_SPACE_ID: ${{ vars.HF_SPACE_ID }}
        run: |
          python - <<'EOF'
          import os
          from huggingface_hub import HfApi

          api = HfApi(token=os.environ["HF_TOKEN"])
          space_id = os.environ["HF_SPACE_ID"]

          ignore = [
              ".git", ".gitattributes", ".venv", "__pycache__",
              "*.pyc", ".env", ".cursor", ".DS_Store",
              "data/embeddings.azure*.npy", "data/embeddings.gemini*.npy",
          ]

          # Upload everything except README first (avoids HF YAML validation API call)
          api.upload_folder(
              folder_path=".",
              repo_id=space_id,
              repo_type="space",
              ignore_patterns=ignore + ["README.md"],
          )

          # Upload README as plain file (no YAML validation triggered)
          api.upload_file(
              path_or_fileobj="README.md",
              path_in_repo="README.md",
              repo_id=space_id,
              repo_type="space",
          )

          print(f"Deployed to {space_id}")
          EOF