Hugging Face config & sync
Browse files- .github/workflows/check_file_size.yml +16 -0
- .github/workflows/sync_to_hf_hub.yml +20 -0
- README.md +17 -2
- requirements.txt +5 -9
.github/workflows/check_file_size.yml
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name: Check file size
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on: # or directly `on: [push]` to run the action on every push on any branch
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pull_request:
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branches: [main]
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# to run this workflow manually from the Actions tab
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workflow_dispatch:
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jobs:
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sync-to-hub:
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runs-on: ubuntu-latest
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steps:
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- name: Check large files
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uses: ActionsDesk/lfs-warning@v2.0
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with:
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filesizelimit: 10485760 # this is 10MB so we can sync to HF Spaces
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.github/workflows/sync_to_hf_hub.yml
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name: Sync to Hugging Face hub
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on:
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push:
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branches: [main]
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# to run this workflow manually from the Actions tab
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workflow_dispatch:
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jobs:
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sync-to-hub:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v3
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with:
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fetch-depth: 0
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lfs: true
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- name: Push to hub
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env:
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HF_TOKEN: ${{ secrets.HF_TOKEN }}
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run: git push https://pkiage:$HF_TOKEN@huggingface.co/spaces/pkiage/time_series_decomposition_demo main
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README.md
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---
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title:
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emoji: π
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colorFrom: indigo
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colorTo: blue
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@@ -85,6 +85,21 @@ python setup.py install
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streamlit run src/app.py
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```
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<p><small>Project structure based on the <a target="_blank" href="https://drivendata.github.io/cookiecutter-data-science/">cookiecutter data science project template</a>.</small></p>
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---
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title: Time Series Decomposition
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emoji: π
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colorFrom: indigo
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colorTo: blue
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streamlit run src/app.py
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```
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## Hugging Face Tips
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Initial Setup
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- [When creating the Spaces Configuration Reference](https://huggingface.co/docs/hub/spaces-config-reference) ensure the [Streamlit Space](https://huggingface.co/docs/hub/spaces-sdks-streamlit) version (sdk_version) specified is supported by HF
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```shell
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git remote add space https://huggingface.co/spaces/pkiage/time_series_autocorrelation_demo
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git push --force space main
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```
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- [When syncing with Hugging Face via Github Actions](https://huggingface.co/docs/hub/spaces-github-actions) the [User Access Token](https://huggingface.co/docs/hub/security-tokens) created on Hugging Face (HF) should have write access
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## Demo Links
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- Hugging Face Space: https://huggingface.co/spaces/pkiage/time_series_decomposition_demo
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- Streamlit Community Cloud: https://pkiage-tool-time-series-autocorrelation-demo-app-l0umps.streamlit.app/
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requirements.txt
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-
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pandas==1.4.2
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statsmodels==0.13.2
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plotly==5.8.0
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matplotlib==3.5.2
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streamlit
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pandas
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statsmodels
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plotly
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matplotlib
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