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halef-SETU provides an easy wrapper around SKLL models for statistical language understanding as well as an easy to API based on Flask

Project description

Statistical Engine for Text Understanding (SETU)
================================================

This package provides wrapper around statistical models created with
SciKit-Learn Laboratory (SKLL) as well as an easy to use API based
on Flask.

[SourceForge](https://sourceforge.net/p/halef/halef-SETU)

Installation
------------
```bash
pip install halef-SETU
```


Getting started with the API
----------------------------

Create a 'config.cfg' file like the following:

config.cfg
```ini
DEBUG = False
HALEF_SLU_MODELS='slu_models.ymal'
```

Set the location of this configuration file inside an environment variable:

```bash
export HALEF_SETU_SETTINGS=<path/to/config.cfg>
```

Create the 'slu_models.yaml' file:

slu_models.yaml
```yaml
model_dir: <path/to/directory/containing/model/and/vocab/files/>
reject_class: <name_of_the_class_for_nomatch>
items:
- <item_name>:
- state: <state_name>
model: <slu_model_file_name>.model
vocab: <slu_model_vocab_file_name>.vocab
classes:
- <class_1_name>
- <class_2_name>
- <class_3_name>
- state: <some_other_state_name>
model: <some_other_slu_model_file_name>.model
vocab: <some_other_slu_vocab_file_name>.vocab
classes:
- <some_other_class_1>
- <some_other_class_2>
```

Create a file to start the API. This can be hosted like any other Flask application.
A quick example would be:

run.py
```python
from halef_setu_api import app
app.run()
```

```bash
python run.py
```

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