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        "author": "Patrick Lange, Rutuja Ubale",
        "author_email": "plange@ets.org, rubale@ets.org",
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        "description": "Statistical Engine for Text Understanding (SETU)\n================================================\n\nThis package provides wrapper around statistical models created with\nSciKit-Learn Laboratory (SKLL) as well as an easy to use API based\non Flask.\n\n[SourceForge](https://sourceforge.net/p/halef/halef-SETU)\n\nInstallation\n------------\n```bash\n  pip install halef-SETU\n```\n\n\nGetting started with the API\n----------------------------\n\nCreate a 'config.cfg' file like the following:\n\nconfig.cfg\n```ini\n  DEBUG = False\n  HALEF_SLU_MODELS='slu_models.ymal'\n```\n\nSet the location of this configuration file inside an environment variable:\n\n```bash\n  export HALEF_SETU_SETTINGS=<path/to/config.cfg>\n```\n\nCreate the 'slu_models.yaml' file:\n\nslu_models.yaml\n```yaml\n  model_dir: <path/to/directory/containing/model/and/vocab/files/>\n  reject_class: <name_of_the_class_for_nomatch>\n  items:\n    - <item_name>:\n      - state: <state_name>\n        model: <slu_model_file_name>.model\n        vocab: <slu_model_vocab_file_name>.vocab\n        classes: \n          - <class_1_name>\n          - <class_2_name>\n          - <class_3_name>\n      - state: <some_other_state_name>\n        model: <some_other_slu_model_file_name>.model\n        vocab: <some_other_slu_vocab_file_name>.vocab\n        classes: \n          - <some_other_class_1>\n          - <some_other_class_2>\n```\n\nCreate a file to start the API. This can be hosted like any other Flask application.\nA quick example would be:\n\nrun.py\n```python\n  from halef_setu_api import app\n  app.run()\n```\n\n```bash\n  python run.py\n```",
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        "keywords": "halef SLU NLP",
        "license": "Apache License 2.0",
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