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Project description
INFO-EXTRACTION
NLP project to identify and categorize named entities in an input text.
Table of Content
Setup Package
IMPORTANT STEP
- To setup the package locally, run:
make setup_venv
List Available Commands
- To list all the available commands, run:
make help
Build And Publish The Package
Using Setuptools
- Build the package by running:
# Install packages required for building and publishing
python -m pip install build twine
# Build
python setup.py clean --all
python setup.py sdist bdist_wheel
# Verify build
twine check dist/*
# Upload package
twine upload dist/* --verbose
Using Poetry
- Build the package using Poetry by running:
# Install packages required for building and publishing
pip install --no-cache poetry==1.4.2
poetry lock "--no-update" && poetry install --no-interaction
export PYPI_TOKEN="your_pypi_token"
poetry config pypi-token.pypi ${PYPI_TOKEN}
# Build and upload package
poetry publish --build
Check HugingFace Cache
- Check the locally cached models and dataset by running:
huggingface-cli scan-cache -v
Run Tests
- For unit and integration tests, run:
# Integration test
make run_integration_test
# All tests
make run_test
Start API
- To start the API, run:
make run_api
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Source Distribution
Built Distribution
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