HuggingChat

About

HuggingChat is a native chat interface designed specifically for macOS users, leveraging the power of open-source language models. It brings the capabilities of advanced AI conversation right to your desktop, offering a seamless and intuitive experience.

Release Notes

* Fixed bugs related to focused inputs (https://github.com/huggingface/chat-macOS/issues/6), model selection (https://github.com/huggingface/chat-macOS/issues/5) and other performance issues.
* Dropped the 'Mac'. Just HuggingChat. It's cleaner. (https://github.com/huggingface/chat-macOS/issues/8)
* Added basic local model inference support for [GGUF](https://huggingface.co/docs/hub/en/gguf) with the ability to dynamically switch between local and server model using new keyboard shortcut `⌘+shift+\` (modifiable in Settings).
* Added a 'Components' pane in Settings for model download/import. 
* Added the ability to import local text files (e.g. source code and text)
* Conversations can now be set to clear at preset intervals
* Added acknowledgments section to the About section highlighting OS tools used within the app.
* Fixed app update server.

Installation

1. Download the latest HuggingChat.zip file from this repository.
2. Unzip the downloaded file.
3. Drag the HuggingChat.app to your Applications folder.

That's it! You can now launch HuggingChat from your Applications folder or using the dedicated keyboard shortcut: ⌘ + Shift + Return.

Feedback

We value your input! If you have any suggestions, encounter issues, or want to share your experience, please feel free to reach out:

1. Email: Send your feedback directly to this address.

2. Community Issues: For bug reports or feature requests, please create an issue or discussion in this repository.

   • Provide a clear title and description of your feedback
   • Include steps to reproduce the issue (for bugs) or detailed explanation (for feature requests)
   • Include the app version number and macOS version
   • Submit the issue

Your feedback helps improve HuggingChat for everyone. Thank you for your support!