Pishing Website Detection Using Deep Learning #400
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| 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=$(cat <<EOF | |
| { | |
| "body": "Thank you for creating this issue! 🎉 We'll look into it as soon as possible. In the meantime, please make sure to provide all the necessary details and context. If you have any questions reach out to [LinkedIn](https://www.linkedin.com/in/sanjay-k-v/). Your contributions are highly appreciated! 😊\n\n Note: This repo is for beginners to learn and start with Opensource we won't accept more than 10 issues from a single person, This restriction applies to Gssoc project which has a similar kind of adding folder files, Points will be reduced when we find Spam. \n\n I Maintain the repo issue twice a day, or ideally 1 day, If your issue goes stale for more than one day you can tag and comment on this same issue. \n\n You can also check our [CONTRIBUTING.md](https://github.com/Recode-Hive/machine-learning-repos/blob/main/CONTRIBUTING.md) for guidelines on contributing to this project." | |
| } | |
| EOF | |
| ) | |
| RESPONSE=$(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 }} |