This project provides a Python toolkit for rapidly creating web demos powered by the OpenAI GPT-3 API, targeting developers and researchers experimenting with few-shot learning. It simplifies the complex process of "priming" GPT-3 models by offering an intuitive API for input/output formatting and automatically generating local web UIs, enabling quick iteration and showcasing of GPT-3 applications.

How It Works

The toolkit leverages a Flask backend and a React frontend to create interactive web applications. Users define GPT-3 interaction logic using Python classes (GPT, Example) to manage model parameters and few-shot examples. The demo_web_app function then orchestrates the creation and launch of a local web server, allowing users to test prompts and observe GPT-3's responses, with the ability to prime the model directly through the UI.

Quick Start & Requirements

• Install via pip install -r api/requirements.txt.
• Requires Python 3, Node 16, and Yarn.
• An OpenAI API key is mandatory.
• Setup involves cloning the repo, creating a virtual environment, installing dependencies, and configuring the API key via an openai.cfg file or environment variable.
• Official docs: https://github.com/shreyashankar/gpt3-sandbox#getting-started

Highlighted Details

• Enables rapid prototyping of GPT-3 powered web demos with minimal Python code.
• Simplifies GPT-3 "priming" by providing structured Example objects.
• Automatically generates local web UIs for interactive testing and demonstration.
• Supports priming GPT-3 directly from the web UI for dynamic experimentation.

Maintenance & Community

This repository is not under active development, with only basic maintenance. Contributions are encouraged via pull requests and issues.

Licensing & Compatibility

The repository does not explicitly state a license in the README. Compatibility for commercial use or closed-source linking is not specified.

Limitations & Caveats

The project is explicitly noted as not intended for production use. The setup process requires specific versions of Node and Yarn, and Windows users may need to modify subprocess calls for the web app to run correctly.