#Docker Compose

ApiCat is a tool for managing API documentation in compliance with OpenAPI standards. By incorporating LLM capabilities, it automates the creation of documentation and test cases, allowing developers to concentrate on coding. Available through both cloud and local installations via Docker, ApiCat offers versatile usage options. Join the community on Discord to learn more.

This toolkit provides a versatile and deployable solution for swiftly creating products based on language models. It includes a user-friendly web app, Slack bot interfaces, and a robust backend API. Developers can utilize customizable model providers and retrieval tools, with guides for deploying on major platforms like AWS, GCP, and Azure. Built for speed and flexibility, it supports quick setup via Docker and GitHub Codespaces, offering an ideal solution for developers looking to integrate advanced AI capabilities into their projects.

gpt4free-demo allows users to set up a cost-free OpenAI GPT-4 API through an easy-to-follow installation process. By cloning the repository and setting environment variables, services can be launched swiftly via Docker Compose. The API offers multiple endpoints for interacting with diverse models. Testing can be performed using the Hurl command-line tool to send HTTP requests and assess performance. This resource provides detailed guidance for both setup and testing, catering to developers keen on utilizing OpenAI's advanced model economically.

Docker Compose is a tool designed to simplify the deployment of multi-container applications using Docker. It uses the Compose file format for defining and managing container setups. A straightforward 'docker compose up' command launches applications, compatible with Docker Desktop on Windows and macOS, and is available for download on Linux. The initial setup process involves creating a Dockerfile for app environments, configuring services in a compose.yaml, and executing applications in isolated setups. Developers can participate in its ongoing development or submit issues through the GitHub repository, with a Python version available on the v1 branch.

The chatgpt-web project provides an easy-to-use, HTML-based chat interface leveraging the OpenAI ChatGPT API. Designed for beginners, it features continuous dialogue, multi-user session isolation, and markdown support. Deployment is straightforward using Docker Compose, following the repository's instructions. This platform is ideal for seamless interaction with ChatGPT online, and related integrations are available for Telegram, WeCom, and additional service connections.

This project provides a simple HTML-based interface to integrate with the official ChatGPT API, catering primarily to beginners. It includes basic features such as ongoing dialogue, user session separation, and markdown output. The setup, which utilizes Docker Compose, is user-friendly and requires minimal configuration. While available for free access via a web proxy, using a paid OpenAI account can enhance speed and remove rate limits. This project aims to deliver a reliable user experience, with straightforward setup and operation, provided the server IP is not restricted.