Metadata-Version: 2.1
Name: lucidtech-las
Version: 8.2.0
Summary: Python SDK for Lucidtech AI Services
Home-page: https://github.com/LucidtechAI/las-sdk-python
Author: Lucidtech
Author-email: hello@lucidtech.ai
Maintainer: Magnus Aarskaug Rud
Maintainer-email: magnus@lucidtech.ai
License: Apache 2.0
Platform: Posix; MacOS X; Windows
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Topic :: Internet
Description-Content-Type: text/markdown
License-File: LICENSE.md

# Python SDK for Lucidtech AI Services API

![Github Actions build status](https://github.com/LucidtechAI/las-sdk-python/workflows/main/badge.svg)

## Documentation

[Link to docs](https://docs.cradl.ai/python-docs/index.html)

## Installation

```bash
$ pip install lucidtech-las
```

## Usage

Sign up for free [here](https://app.cradl.ai/signup) and download API credentials to use this SDK.
Read more about authenticating to the API [here](https://docs.cradl.ai/overview/authentication)

### Quick start

```python
import json
from las import Client

client = Client()
models = client.list_models()['models'] # List all models available
model_id = models[0]['modelId'] # Get ID of first model in list
document = client.create_document('path/to/document.pdf')
prediction = client.create_prediction(document['documentId'], model_id=model_id)
print(json.dumps(prediction, indent=2))
```

## Contributing

### Prerequisites

```bash
$ pip install -r requirements.txt
$ pip install -r requirements.ci.txt
```

### Run tests

```bash
$ make prism-start
$ python -m pytest
```

### Create docs

```bash
$ tox -e docs .docsout
```


