Add a bonsai guide page to the SLEAP website

[shrivaths16]

Description

Currently we do not have a page that helps in understanding on how to use Bonsai and SLEAP together for analysis. So, adding a Bonsai guide page to the website for a guidance on using SLEAP models in Bonsai.

Types of changes

• [ ] Bugfix
• [ ] New feature
• [ ] Refactor / Code style update (no logical changes)
• [ ] Build / CI changes
• [x] Documentation Update
• [ ] Other (explain)

Does this address any currently open issues?

• #1778

Outside contributors checklist

• [ ] Review the guidelines for contributing to this repository
• [ ] Read and sign the CLA and add yourself to the authors list
• [ ] Make sure you are making a pull request against the develop branch (not main). Also you should start your branch off develop
• [ ] Add tests that prove your fix is effective or that your feature works
• [ ] Add necessary documentation (if appropriate)

Thank you for contributing to SLEAP!

:heart:

Summary by CodeRabbit

• New Features

  • Introduced a new guide on using Bonsai with SLEAP, covering exporting trained models, installation, and usage for prediction and analysis.

• Documentation

  • Added a section in the guides index for "SLEAP with Bonsai" to provide information on visual analysis using Bonsai.

[coderabbitai[bot]]

Walkthrough

The recent changes introduce a new branch trigger for the GitHub workflow and add comprehensive documentation for using Bonsai with SLEAP. The updates include a new guide on exporting SLEAP models, installing Bonsai, and employing Bonsai SLEAP modules for prediction and analysis, along with a new section in the documentation index.

Changes

File	Change Summary
.github/workflows/website.yml	Added a branch trigger shrivaths/bonsai-guide for paths docs/** and README.rst.
docs/guides/bonsai.md	Introduced a guide on using Bonsai with SLEAP, covering model export, installation, and usage.
docs/guides/index.md	Added a section titled "SLEAP with Bonsai" for visual analysis of trained SLEAP models.

Poem

In the code where branches grow,
A new trigger starts to show. 🌿
Bonsai and SLEAP now intertwine,
Predictions bloom, results align.
Docs updated, clear and bright,
Guiding coders day and night.
🌟 A garden of knowledge takes flight! 🚀

---

Thank you for using CodeRabbit. We offer it for free to the OSS community and would appreciate your support in helping us grow. If you find it useful, would you consider giving us a shout-out on your favorite social media?

Share

• X
• Mastodon
• Reddit
• LinkedIn

Tips

Chat

There are 3 ways to chat with CodeRabbit:

• Review comments: Directly reply to a review comment made by CodeRabbit. Example:
  • I pushed a fix in commit <commit_id>.
  • Generate unit testing code for this file.
  • Open a follow-up GitHub issue for this discussion.
• Files and specific lines of code (under the "Files changed" tab): Tag @coderabbitai in a new review comment at the desired location with your query. Examples:
  • @coderabbitai generate unit testing code for this file.
  • @coderabbitai modularize this function.
• PR comments: Tag @coderabbitai in a new PR comment to ask questions about the PR branch. For the best results, please provide a very specific query, as very limited context is provided in this mode. Examples:
  • @coderabbitai generate interesting stats about this repository and render them as a table.
  • @coderabbitai show all the console.log statements in this repository.
  • @coderabbitai read src/utils.ts and generate unit testing code.
  • @coderabbitai read the files in the src/scheduler package and generate a class diagram using mermaid and a README in the markdown format.
  • @coderabbitai help me debug CodeRabbit configuration file.

Note: Be mindful of the bot's finite context window. It's strongly recommended to break down tasks such as reading entire modules into smaller chunks. For a focused discussion, use review comments to chat about specific files and their changes, instead of using the PR comments.

CodeRabbit Commands (invoked as PR comments)

• @coderabbitai pause to pause the reviews on a PR.
• @coderabbitai resume to resume the paused reviews.
• @coderabbitai review to trigger an incremental review. This is useful when automatic reviews are disabled for the repository.
• @coderabbitai full review to do a full review from scratch and review all the files again.
• @coderabbitai summary to regenerate the summary of the PR.
• @coderabbitai resolve resolve all the CodeRabbit review comments.
• @coderabbitai configuration to show the current CodeRabbit configuration for the repository.
• @coderabbitai help to get help.

Additionally, you can add @coderabbitai ignore anywhere in the PR description to prevent this PR from being reviewed.

CodeRabbit Configration File (.coderabbit.yaml)

• You can programmatically configure CodeRabbit by adding a .coderabbit.yaml file to the root of your repository.
• Please see the configuration documentation for more information.
• If your editor has YAML language server enabled, you can add the path at the top of this file to enable auto-completion and validation: # yaml-language-server: $schema=https://coderabbit.ai/integrations/schema.v2.json

Documentation and Community

• Visit our Documentation for detailed information on how to use CodeRabbit.
• Join our Discord Community to get help, request features, and share feedback.
• Follow us on X/Twitter for updates and announcements.

[roomrys]

Suceeded by:

• #2050