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-0.1.5.tar.gz (7.0 kB view details)

Uploaded Source

File details

Details for the file OmniBridge-0.1.5.tar.gz.

File metadata

  • Download URL: OmniBridge-0.1.5.tar.gz
  • Upload date:
  • Size: 7.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.2

File hashes

Hashes for OmniBridge-0.1.5.tar.gz
Algorithm Hash digest
SHA256 5004768e4ed0ba79540c7f0e674080f377a02ab71612304cf030d0467cfbcd84
MD5 4efd6ef8f2780c0d41093f74d7f08008
BLAKE2b-256 8ad5b8d016a02d1a78837c9e102274418e75c464f15ca050be20b099f809d468

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