Story generation tool using deep learning models- Hugging Face Transformer architecture model #350

	name: Auto Comment on PR Open

	on:
	pull_request_target:
	types: [opened]

	permissions:
	issues: write
	pull-requests: write

	jobs:
	comment-on-open:
	runs-on: ubuntu-latest

	steps:
	- name: Add Comment to Opened PR
	run: \|
	COMMENT=$(cat <<EOF
	{
	"body": "👋 Thank you for opening this pull request! We appreciate your contribution to improving this project. Your PR is under review, and we'll get back to you shortly. \nDon't forget to mention the issue you solved!"
	}
	EOF
	)
	RESPONSE=$(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/${{ github.event.pull_request.number }}/comments \
	-d "$COMMENT")
	cat response.json
	if [ "$RESPONSE" -ne 201 ]; then
	echo "Failed to add comment on PR open"
	exit 1
	fi

	- name: Add Reviewer to Pull Request
	run: \|
	REVIEWERS=$(cat <<EOF
	{
	"reviewers": ["UppuluriKalyani"]
	}
	EOF
	)
	RESPONSE=$(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 }}/pulls/${{ github.event.pull_request.number }}/requested_reviewers \
	-d "$REVIEWERS")
	cat response.json
	if [ "$RESPONSE" -ne 201 ]; then
	echo "Failed to add reviewer"
	exit 1
	fi
	env:
	GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

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