add try except around datasets to train on broken datasets #141
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name: demo | |
on: | |
# Run 'test-demo' on every pull request to the main branch | |
pull_request: | |
branches: [main] | |
# Run 'test-demo' on every push to the main branch or both jobs when a new version tag is pushed | |
push: | |
branches: | |
- main | |
tags: | |
- 'v*' | |
# Run 'sync-to-hub' on a scheduled cron job | |
schedule: | |
- cron: '0 2 10 * *' # At 02:00 on day-of-month 10 (every month) | |
# Allow manual triggering of the workflow | |
workflow_dispatch: | |
jobs: | |
test-demo: | |
runs-on: ${{ matrix.os }} | |
strategy: | |
fail-fast: false | |
matrix: | |
os: [ubuntu-latest] | |
python: ["3.10"] | |
framework: [tensorflow, pytorch] | |
steps: | |
- if: matrix.os == 'macos-latest' | |
name: Install MacOS prerequisites | |
run: brew install cairo pango gdk-pixbuf libffi | |
- uses: actions/checkout@v4 | |
- name: Set up Python | |
uses: actions/setup-python@v5 | |
with: | |
python-version: ${{ matrix.python }} | |
architecture: x64 | |
- if: matrix.framework == 'tensorflow' | |
name: Cache python modules (TF) | |
uses: actions/cache@v4 | |
with: | |
path: ~/.cache/pip | |
key: ${{ runner.os }}-pkg-deps-${{ matrix.python }}-${{ hashFiles('requirements.txt') }}-${{ hashFiles('demo/tf-requirements.txt') }} | |
- if: matrix.framework == 'pytorch' | |
name: Cache python modules (PT) | |
uses: actions/cache@v4 | |
with: | |
path: ~/.cache/pip | |
key: ${{ runner.os }}-pkg-deps-${{ matrix.python }}-${{ hashFiles('requirements.txt') }}-${{ hashFiles('demo/pt-requirements.txt') }} | |
- if: matrix.framework == 'tensorflow' | |
name: Install dependencies (TF) | |
run: | | |
python -m pip install --upgrade pip | |
pip install -e .[tf,viz,html] --upgrade | |
pip install -r demo/tf-requirements.txt | |
- if: matrix.framework == 'pytorch' | |
name: Install dependencies (PT) | |
run: | | |
python -m pip install --upgrade pip | |
pip install -e .[torch,viz,html] --upgrade | |
pip install -r demo/pt-requirements.txt | |
- if: matrix.framework == 'tensorflow' | |
name: Run demo (TF) | |
env: | |
USE_TF: 1 | |
run: | | |
streamlit --version | |
screen -dm streamlit run demo/app.py | |
sleep 10 | |
curl http://localhost:8501/docs | |
- if: matrix.framework == 'pytorch' | |
name: Run demo (PT) | |
env: | |
USE_TORCH: 1 | |
run: | | |
streamlit --version | |
screen -dm streamlit run demo/app.py | |
sleep 10 | |
curl http://localhost:8501/docs | |
# This job only runs when a new version tag is pushed or during the cron job or when manually triggered | |
sync-to-hub: | |
if: github.event_name == 'push' && startsWith(github.ref, 'refs/tags/v') || github.event_name == 'schedule' || github.event_name == 'workflow_dispatch' | |
needs: test-demo | |
runs-on: ${{ matrix.os }} | |
strategy: | |
fail-fast: false | |
matrix: | |
os: [ubuntu-latest] | |
python: ["3.10"] | |
steps: | |
- uses: actions/checkout@v4 | |
with: | |
fetch-depth: 0 | |
- name: Set up Python | |
uses: actions/setup-python@v5 | |
with: | |
python-version: ${{ matrix.python }} | |
architecture: x64 | |
- name: Install huggingface_hub | |
run: pip install huggingface-hub | |
- name: Upload folder to Hugging Face | |
# Only keep the requirements.txt file for the demo (PyTorch) | |
run: | | |
mv demo/pt-requirements.txt demo/requirements.txt | |
rm demo/tf-requirements.txt | |
python -c " | |
from huggingface_hub import HfApi | |
api = HfApi(token='${{ secrets.HF_TOKEN }}') | |
repo_id = 'mindee/doctr' | |
api.upload_folder(repo_id=repo_id, repo_type='space', folder_path='demo/') | |
api.restart_space(repo_id=repo_id, factory_reboot=True) | |
" |