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-0.1.1.tar.gz (6.8 kB view details)

Uploaded Source

File details

Details for the file OmniBridge-0.1.1.tar.gz.

File metadata

  • Download URL: OmniBridge-0.1.1.tar.gz
  • Upload date:
  • Size: 6.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.2

File hashes

Hashes for OmniBridge-0.1.1.tar.gz
Algorithm Hash digest
SHA256 d64114abe7f82beb9bcc8aadbd7c371e4b0ff96ae11ebaac8ebfeb9627681d63
MD5 24563bfebd405a50dcfc8a7c636fa29f
BLAKE2b-256 10bb3efc2fe3ec03bf3f6e64839f7dad59b88ef3c25e29b77375821e2bfe9870

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