💡[Feature]: Effective Waste Management using Reinforcement Learning techniques #821

	name: Auto Comment on Issue

	on:
	issues:
	types: [opened]

	permissions:
	issues: write

	jobs:
	comment:
	runs-on: ubuntu-latest
	permissions:
	issues: write
	steps:
	- name: Add Comment to Issue
	run: \|
	COMMENT=$(cat <<EOF
	{
	"body": "Thank you for creating this issue! 🎉 We'll look into it as soon as possible. In the meantime, please make sure to provide all the necessary details and context. If you have any questions reach out to [LinkedIn](https://www.linkedin.com/in/sanjay-k-v/). Your contributions are highly appreciated! 😊\n\n Note: I Maintain the repo issue twice a day, or ideally 1 day, If your issue goes stale for more than one day you can tag and comment on this same issue. \n\n You can also check our [CONTRIBUTING.md](https://github.com/Recode-Hive/machine-learning-repos/blob/main/CONTRIBUTING.md) for guidelines on contributing to this project. <br> We are here to help you on this journey of opensource, any help feel free to tag me or [book an appointment](https://topmate.io/sanjaykv)."
	}
	EOF
	)
	RESPONSE=$(curl -s -o response.json -w "%{http_code}" \
	-X POST \
	-H "Authorization: token ${{ secrets.GITHUB_TOKEN }}" \
	-H "Accept: application/vnd.github.v3+json" \
	https://api.github.com/repos/${{ github.repository }}/issues/${{ github.event.issue.number }}/comments \
	-d "$COMMENT")
	cat response.json
	if [ "$RESPONSE" -ne 201 ]; then
	echo "Failed to add comment"
	exit 1
	fi
	env:
	GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

Provide feedback