Python SDK for Lucidtech AI Services API
Documentation
Installation
$ pip install lucidtech-las
Usage
Sign up for free here and download API credentials to use this SDK. Read more about authenticating to the API here
Quick start
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
$ pip install -r requirements.txt
$ pip install -r requirements.ci.txt
Run tests
$ make prism-start
$ python -m pytest
Create docs
$ tox -e docs .docsout
Release files for lucidtech-las 11.4.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| lucidtech_las-11.4.1.tar.gz | 31.3 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| lucidtech_las-11.4.1-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 53.9 kB
Release files / lucidtech_las-11.4.1.tar.gz
| Download URL | lucidtech_las-11.4.1.tar.gz |
|---|---|
| Size | 31.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.0.1 CPython/3.12.7
|
Release files / lucidtech_las-11.4.1-py2.py3-none-any.whl
| Download URL | lucidtech_las-11.4.1-py2.py3-none-any.whl |
|---|---|
| Size | 22.6 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
d8fb190809367a727eff253f08a6eceb1ee06101eac87ea67872fb659a727a3d
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.0.1 CPython/3.12.7
|
Security for lucidtech-las 11.4.1
Provenance
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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