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Predictions are made using the fastText algorithm.\n\nThe application available at ~/home includes two parts :\n\n* The main part aims at simplifying the labelling process. One label from a file are automatically offered to the user who has to choose the rigth associated category/label.\n* The second one enables users to visualize the results (preprocessing and predictions of the model).\n\n## Quick start\n\n### Using docker\n\n```\ndocker run --env inseefrlab/product-labelling\n```\n\n## Configuration\n\nEach variable can be overriden using environment variables.\n\nProduct-labelling configuration\n| Key | Default | Description |\n| --------------------- | ------- | ------------------------------------------------------------------ |\n| `model` | `none` | URL of text classification model - fasttext model saved with .ftz extension (must be configured) |\n| `nomenclature` | `none` | URL of a CSV file which contains complete list of nomenclature products with no header |\n| `db_type` | `sqlite3` | Other supported mode : `postgres` |\n\nProduct-labelling configuration if `dbtype`==`postgres`\n| Key | Default | Description |\n| --------------------- | ------- | ------------------------------------------------------------------ |\n| `db_password` | `none` | See [django configuration](https://docs.djangoproject.com/fr/3.0/ref/settings/#std:setting-DATABASES) (must be configured) |\n| `db_name` | `none` | See [django configuration](https://docs.djangoproject.com/fr/3.0/ref/settings/#std:setting-DATABASES) (must be configured) |\n| `db_user` | `none` | See [django configuration](https://docs.djangoproject.com/fr/3.0/ref/settings/#std:setting-DATABASES) (must be configured) |\n| `db_host` | `localhost` | See [django configuration](https://docs.djangoproject.com/fr/3.0/ref/settings/#std:setting-DATABASES) |\n| `db_port` | `5432` | See [django configuration](https://docs.djangoproject.com/fr/3.0/ref/settings/#std:setting-DATABASES) |\n\n## Documentation\n\nSee [Django documentation](https://docs.djangoproject.com/fr/3.0/)\n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Finseefrlab%2Fproduct-labelling","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Finseefrlab%2Fproduct-labelling","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Finseefrlab%2Fproduct-labelling/lists"}