Skip to main content

Bridging AI models

Project description

Install

requirerments:

  • Python 3.11

steps:

  1. git clone https://github.com/tmpOrgName/tmp.git
  2. pip install pipenv
  3. pipenv install (in the root folder)
  4. pipenv shell

Run linter locally

inside pipenv shell, execute ruff check ./

Usage

Available in CLI with the following arguments:

  • -m / --model
  • -p / --prompt

single model example: python main.py -m chatgpt -p hello

multi model example: python main.py -m chatgpt -p hello -m dalle -p goodbye

Note that the order of specification matters, meaning that in the above example, chatgpt will get the prompt hello and dalle will get the prompt goodbye

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

OmniBridge-0.1.13.tar.gz (10.4 kB view details)

Uploaded Source

File details

Details for the file OmniBridge-0.1.13.tar.gz.

File metadata

  • Download URL: OmniBridge-0.1.13.tar.gz
  • Upload date:
  • Size: 10.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.2

File hashes

Hashes for OmniBridge-0.1.13.tar.gz
Algorithm Hash digest
SHA256 f68eed7bf71c160d6c92f98c5d6ee0e72b7083dc7b362fe21ee1d51fb7dbd312
MD5 52208a1c28cb3a55a03981d511b57867
BLAKE2b-256 74f610bafc5cbb349c5b799deb00227c5b312e3811cff73e003546495fa3538d

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