Skip to main content

Deeplogix AI RPC

Project description

Deeplogix AI RPC

Deeplogix AI RPC is a Python module for seamlessly running remote private AI models from your Python code as if these models were installed locally.

Installation

Use the package manager pip for install.

Development version from TestPyPi:

pip install --index-url https://test.pypi.org/simple/ --extra-index-url https://pypi.org/simple deeplogix

Production production version from PyPi:

pip install deeplogix

Usage

For module built-in demos:

python -m deeplogix --demo

Or for your A.I. script:

python -m deeplogix ./path/to/your/script.py

Or just:

python -m deeplogix

And it will print usage options.

When you run Deeplogix module first time - it will ask you hostId and token, which could be obtained at Deeplogix site after sign up.

License

MIT

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

deeplogix-0.1.8.tar.gz (7.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

deeplogix-0.1.8-py3-none-any.whl (9.4 kB view details)

Uploaded Python 3

File details

Details for the file deeplogix-0.1.8.tar.gz.

File metadata

  • Download URL: deeplogix-0.1.8.tar.gz
  • Upload date:
  • Size: 7.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.2

File hashes

Hashes for deeplogix-0.1.8.tar.gz
Algorithm Hash digest
SHA256 eab081fa30f3d97dfc32a8199720473bf3b504bd65ea613b2f963c66b209afda
MD5 27bb90a9070009c0e432f8bd4f532602
BLAKE2b-256 da4dfaabb12e687b86e3d90c60e376797976dc0c70ca4d38ec09d6d52061404b

See more details on using hashes here.

File details

Details for the file deeplogix-0.1.8-py3-none-any.whl.

File metadata

  • Download URL: deeplogix-0.1.8-py3-none-any.whl
  • Upload date:
  • Size: 9.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.2

File hashes

Hashes for deeplogix-0.1.8-py3-none-any.whl
Algorithm Hash digest
SHA256 235beca034b6a903f76f5db1523d2dd77cafb833fbae0c8a79b9c4ca452be58d
MD5 3e527be5e7f226723f81357419d48322
BLAKE2b-256 81895a2365180aa0cb881d981cc64cb988a346cbfb3a4e28140a3c778c0eb1b0

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page