Open Source Swift Generative AI

Welcome to Yodd AI Chat, your new AI-powered chatbot companion! Yodd AI Chat uses the latest OpenAI API to provide you with an unparalleled chat experience. Whether you're looking for a friendly conversation or need some help with a problem, Yodd AI Chat is here to help. Free chatbot app for OpenAI's ChatGPT. Yodd's ChatGPT is a free and open-source implementation of the OpenAI API in Swift for iOS. It uses the OpenAISwift framework, ChatGPTSwift framework and OpenAI framework. Apparenlty you need to have some credits on your OpenAI account, if you don't have them is looks that adding a payment method to your account is enough. If the testflight link is down you can download the source code and build it yourself, or you can install the IPA. With Yodd AI Chat, you can also generate images to accompany your messages, adding a new level of creativity and personalization to your conversations. Plus, you can save, listen to, and delete messages.

deprecated-generative-ai-swift is a Swift client and example scaffold for building generative AI apps using the Gemini models. Although marked “deprecated”, the repo demonstrates how to integrate Gemini inference into iOS and macOS apps via Swift APIs, providing boilerplate for prompt dispatching, streaming responses, UI integration, and error handling. It includes a sample app that showcases a chat interface, where users send messages and receive responses streamed in real time, with UI updates as tokens arrive. The code also handles request queuing, cancellation, and retry logic, giving developers a realistic foundation rather than a minimalist “hello world.” Despite its deprecated label, the repo remains valuable for developers who want to see how a native Swift integration might be structured before migrating to newer SDKs. Maintainability is emphasized: modular layers separate networking, prompt handling, and UI logic, making adaptation easier when switching to updated APIs.

SwiftUI views that asynchronously loads and displays an OpenAI image from open API. You just type in your idea and AI will give you an art solution. DALL-E and DALL-E 2 are deep learning models developed by OpenAI to generate digital images from natural language descriptions, called "prompts". You need to have Xcode 13 installed in order to have access to Documentation Compiler (DocC) OpenAI's text-to-image model DALL-E 2 is a recent example of diffusion models. It uses diffusion models for both the model's prior (which produces an image embedding given a text caption) and the decoder that generates the final image. In machine learning, diffusion models, also known as diffusion probabilistic models, are a class of latent variable models. They are Markov chains trained using variational inference. The goal of diffusion models is to learn the latent structure of a dataset by modeling the way in which data points diffuse through the latent space.