greetings.yml

# Ultralytics YOLO 🚀, GPL-3.0 license

name: Greetings

on:
  pull_request_target:
    types: [opened]
  issues:
    types: [opened]

jobs:
  greeting:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/first-interaction@v1
        with:
          repo-token: ${{ secrets.GITHUB_TOKEN }}
          pr-message: |
            👋 Hello @${{ github.actor }}, thank you for submitting a YOLO 🚀 PR! To allow your work to be integrated as seamlessly as possible, we advise you to:

            - ✅ Verify your PR is **up-to-date** with `ultralytics/hub` `main` branch. If your PR is behind you can update your code by clicking the 'Update branch' button or by running `git pull` and `git merge main` locally.
            - ✅ Verify all Continuous Integration (CI) **checks are passing**.
            - ✅ Update [Docs](https://docs.ultralytics.com) for any new or updated features.
            - ✅ Reduce changes to the absolute **minimum** required for your bug fix or feature addition. _"It is not daily increase but daily decrease, hack away the unessential. The closer to the source, the less wastage there is."_  — Bruce Lee

            See our [Contributing Guide](https://docs.ultralytics.com/help/contributing) for details and let us know if you have any questions!

          issue-message: |
            👋 Hello @${{ github.actor }}, thank you for raising an issue about [Ultralytics HUB](https://hub.ultralytics.com) 🚀! Please visit our [HUB Docs](https://docs.ultralytics.com/hub) to learn more:

            - [**Quickstart**](https://docs.ultralytics.com/hub/quickstart). Start training and deploying YOLO models with HUB in seconds.
            - [**Datasets: Preparing and Uploading**](https://docs.ultralytics.com/hub/datasets). Learn how to prepare and upload your datasets to HUB in YOLO format.
            - [**Projects: Creating and Managing**](https://docs.ultralytics.com/hub/projects). Group your models into projects for improved organization.
            - [**Models: Training and Exporting**](https://docs.ultralytics.com/hub/models). Train YOLOv5 and YOLOv8 models on your custom datasets and export them to various formats for deployment.
            - [**Integrations**](https://docs.ultralytics.com/hub/integrations). Explore different integration options for your trained models, such as TensorFlow, ONNX, OpenVINO, CoreML, and PaddlePaddle.
            - [**Ultralytics HUB App**](https://docs.ultralytics.com/hub/app). Learn about the Ultralytics App for iOS and Android, which allows you to run models directly on your mobile device.
                * [**iOS**](https://docs.ultralytics.com/hub/app/ios). Learn about YOLO CoreML models accelerated on Apple's Neural Engine on iPhones and iPads.
                * [**Android**](https://docs.ultralytics.com/hub/app/android). Explore TFLite acceleration on mobile devices.
            - [**Inference API**](https://docs.ultralytics.com/hub/inference-api). Understand how to use the Inference API for running your trained models in the cloud to generate predictions.

            If this is a 🐛 Bug Report, please provide screenshots and steps to [reproduce](https://docs.ultralytics.com/help/minimum_reproducible_example/) your problem to help us get started working on a fix.

            If this is a ❓ Question, please provide as much information as possible, including dataset, model, environment details etc. so that we might provide the most helpful response.

            We try to respond to all issues as promptly as possible. Thank you for your patience!