jacobmarks / gpt4-vision-plugin Goto Github PK

On November 6, 2023, OpenAI made GPT-4 Vision available to developers via an API. The model has the natural language capabilities of GPT-4, as well as the (decent) ability to understand images. It can be prompted with multimodal inputs, including text and a single image or multiple images.

This plugin allows you to integrate GPT-4 Vision natively into your AI and computer vision workflows 💪!

If you haven't already, install FiftyOne:

pip install fiftyone

Then, install the plugin:

fiftyone plugins download https://github.com/jacobmarks/gpt4-vision-plugin

To use GPT-4 Vision, you will also need to set the environment variable OPENAI_API_KEY with your API key. For information on estimating costs, see here

To use GPT-4 Vision, you will need to have a dataset of images in FiftyOne. If you don't have a dataset, you can create one from a directory of images:

import fiftyone as fo

dataset = fo.Dataset.from_images_dir("/path/to/images")

## optionally name the dataset and persist to disk
dataset.name = "my-dataset"
dataset.persistent = True

## view the dataset in the App
session = fo.launch_app(dataset)

Inputs:

• query_text: The text to prompt GPT-4 Vision with
• max_tokens: The maximum number of tokens to generate

The plugin's execution context will take all currently selected samples, encode them, and pass them to GPT-4 Vision. The plugin will then output the response from GPT-4 Vision 😄

Happy exploring!