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Download build_docker_image.sh from huggingface/datasets-tagging: direct link, hf CLI and curl.
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- Download file 486 Bytes
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https://huggingface.co/spaces/huggingface/datasets-tagging/resolve/refs%2Fpr%2F2/build_docker_image.sh
- Command line
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hf download hf://spaces/huggingface/datasets-tagging@refs/pr/2/build_docker_image.sh
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curl -L -o build_docker_image.sh https://huggingface.co/spaces/huggingface/datasets-tagging/resolve/refs%2Fpr%2F2/build_docker_image.sh
486 Bytes
| cleanup() { | |
| rm -f Dockerfile .dockerignore | |
| } | |
| trap cleanup ERR EXIT | |
| ./build_metadata_file.py | |
| cat > .dockerignore << EOF | |
| .git | |
| datasets | |
| EOF | |
| cat > Dockerfile << EOF | |
| FROM python | |
| COPY requirements.txt tagging_app.py task_set.json language_set.json license_set.json metadata_927d44346b12fac66e97176608c5aa81843a9b9a.json ./ | |
| RUN pip install -r requirements.txt | |
| RUN pip freeze | |
| CMD ["streamlit", "run", "tagging_app.py"] | |
| EOF | |
| set -eEx | |
| docker build -t dataset-tagger . | |