Reformatted for clarity and added info about provider API key

[KhimYangWD]

Added some images for the additional steps, and refreshed some images to make the flow more consistent.

[gemini-code-assist]

Summary of Changes

Hello @KhimYangWD, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request significantly enhances the documentation for integrating Hugging Face chat models by providing clearer, more comprehensive instructions. It focuses on streamlining the process of managing API keys for third-party inference providers and refining the steps for selecting and configuring LLM models, all supported by updated visual aids to improve user understanding and flow consistency.

Highlights

• Enhanced API Key Management: Detailed instructions have been added for configuring third-party provider API keys within Hugging Face settings, ensuring users can properly integrate external inference services.
• Improved LLM Model Selection Flow: The documentation now includes clearer, step-by-step guidance for selecting and identifying LLM models, along with their associated inference providers, on the Hugging Face platform.
• Visual Clarity and Consistency: New and updated screenshots are integrated throughout the guide to provide a more consistent and intuitive visual experience for users following the setup process.
• Documentation Formatting Refinement: Prerequisite steps have been renumbered from alphabetical to numerical for improved readability and consistency within the document.

Using Gemini Code Assist

The full guide for Gemini Code Assist can be found on our documentation page, here are some quick tips.

Invoking Gemini

You can request assistance from Gemini at any point by creating a comment using either /gemini <command> or @gemini-code-assist <command>. Below is a summary of the supported commands on the current page.

Feature	Command	Description
Code Review	/gemini review	Performs a code review for the current pull request in its current state.
Pull Request Summary	/gemini summary	Provides a summary of the current pull request in its current state.
Comment	@gemini-code-assist	Responds in comments when explicitly tagged, both in pull request comments and review comments.
Help	/gemini help	Displays a list of available commands.

Customization

To customize Gemini Code Assist for GitHub experience, repository maintainers can create a configuration file and/or provide a custom code review style guide (such as PEP-8 for Python) by creating and adding files to a .gemini/ folder in the base of the repository. Detailed instructions can be found here.

Limitations & Feedback

Gemini Code Assist may make mistakes. Please leave feedback on any instances where its feedback is incorrect or counter productive. You can react with 👍 and 👎 on @gemini-code-assist comments. If you're interested in giving your feedback about your experience with Gemini Code Assist for Github and other Google products, sign up here.

You can also get AI-powered code generation, chat, as well as code reviews directly in the IDE at no cost with the Gemini Code Assist IDE Extension.

Footnotes

1. Review the Privacy Notices, Generative AI Prohibited Use Policy, Terms of Service, and learn how to configure Gemini Code Assist in GitHub here. Gemini can make mistakes, so double check it and use code with caution. ↩

[gemini-code-assist]

Code Review

This pull request updates the Hugging Face integration documentation, improving clarity by reformatting lists and adding important information about handling API keys for third-party providers. The changes are beneficial, but I've identified a few minor formatting and consistency issues in the markdown file. My review includes suggestions to correct indentation, remove unnecessary blank lines, improve list formatting, and ensure consistent naming for 'Hugging Face'.

[KhimYangWD]

Hi @HenryHengZJ , I'm done editing my HuggingFace Integration docs. It's now ready for your review! Also, Nathan-Finn and Cherie Woo are Workday writers helping with Flowise too, just FYI (not for prioritization). Thank you again!!