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Bridging AI models

Project description

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OmniBridge

OmniBridge is a CLI tool that bridges between different AI models. It helps you can access different AI models in a centralized place.

Install

> pip install omnibridge

Usage

Available in CLI with the following arguments:

  • -m / --model
  • -p / --prompt
  • -l / --load-config

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

The configurations can be set in a .json file and given to the CLI tool with the flag -l <PATH_TO_CONFIG_FILE>.

For example:

{
    "chatgpt": {
        "api_key": "...",
        "model": "..."
    },
    "hugging_face": {
        "api_key": "...",
        "model_id": "..."
    },
    "dalle": {
        "api_key": "...",
        "num_of_images": ...,
        "resolution": "..."
    }
}

Contribute:

requirerments:

  • Python 3.11

steps:

  1. Fork and clone this repository
  2. pip install pipenv
  3. pipenv install (in the root folder)
  4. pipenv shell

Run linter locally

inside pipenv shell, execute

ruff check ./

Run tests locally

pipenv run python -m pytest

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