Skip to main content

GPT-4o model for use with Autodistill

Project description

Autodistill GPTo Module

This repository contains the code supporting the GPTo base model for use with Autodistill.

[GPTo](https://openai.com/index/hello-gpt-4o/, developed by OpenAI, is a multi-modal language model that works across the image, text, and audio domains. With GPTo, you can ask questions about images in natural language. The autodistill-gpt4o module enables you to classify images using GPT-4V.

This model uses the gpt-4-o API announced by OpenAI on May 13th, 2024.

[!NOTE]
Using this project will incur billing charges for API calls to the OpenAI GPT-4 Vision API. Refer to the OpenAI pricing page for more information and to calculate your expected pricing. This package makes one API call per image you want to label.

Read the full Autodistill documentation.

Installation

To use GPT-4o with autodistill, you need to install the following dependency:

pip3 install autodistill-gpt-4o

Quickstart

from autodistill_gpt_4o import GPT4o

# define an ontology to map class names to our GPT-4o prompt
# the ontology dictionary has the format {caption: class}
# where caption is the prompt sent to the base model, and class is the label that will
# be saved for that caption in the generated annotations
# then, load the model
base_model = GPT4o(
    ontology=CaptionOntology(
        {
            "person": "person",
            "a forklift": "forklift"
        }
    ),
    api_key="OPENAI_API_KEY"
)
base_model.label("./context_images", extension=".jpeg")

License

This project is licensed under an MIT license.

🏆 Contributing

We love your input! Please see the core Autodistill contributing guide to get started. Thank you 🙏 to all our contributors!

Project details


Download files

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

Source Distribution

autodistill_gpt_4o-0.1.5.tar.gz (4.9 kB view details)

Uploaded Source

Built Distribution

autodistill_gpt_4o-0.1.5-py3-none-any.whl (5.2 kB view details)

Uploaded Python 3

File details

Details for the file autodistill_gpt_4o-0.1.5.tar.gz.

File metadata

  • Download URL: autodistill_gpt_4o-0.1.5.tar.gz
  • Upload date:
  • Size: 4.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.7

File hashes

Hashes for autodistill_gpt_4o-0.1.5.tar.gz
Algorithm Hash digest
SHA256 a38600a23f0703ace8d4a9c66b573180acfeea5e4ab3f849783fa28b9e0c2205
MD5 a9dc8e24bf709c188e996ae8e480b2f5
BLAKE2b-256 e153071baecac133589e674e12f1fb4711f7c046f5c27cbe36712832f48d3929

See more details on using hashes here.

File details

Details for the file autodistill_gpt_4o-0.1.5-py3-none-any.whl.

File metadata

File hashes

Hashes for autodistill_gpt_4o-0.1.5-py3-none-any.whl
Algorithm Hash digest
SHA256 45c2e1e03245b1836de8c063791f920b8aeee49984057ad765d5a33d50ce85a1
MD5 8bc30c411fecfe4b42b74009f0498f09
BLAKE2b-256 e38ea693dc11f461d838893811a7e931ad76967f1bb6e43cbc1d6c77cf45de53

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page