怎么实现模型遇到超出训练数据本身的问题时能自动调用搜索引擎回答,而不需要人为去选择搜索引擎回答呢? #288
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name: label_ad_issue | |
on: | |
issues: | |
types: | |
- opened | |
jobs: | |
label_ad_issue: | |
runs-on: ubuntu-latest | |
environment: Scheduled GITHUB_OWNER publish | |
steps: | |
- env: | |
GH_TOKEN: ${{ secrets.GITHUB_OWNER_TOKEN }} | |
ISSUE_URL: ${{ github.event.issue.html_url }} | |
ISSUE_TITLE: ${{ github.event.issue.title }} | |
run: | | |
stat=no | |
AD_KEYWORDS=(download crack "serial key" "license key" "product key" "free download" "full version" "full crack" "full keygen" "full license" "full activation" "full serial") | |
ISSUE_TITLE_LOWER=$(echo $ISSUE_TITLE | tr '[:upper:]' '[:lower:]') | |
for KEYWORD in ${AD_KEYWORDS[@]}; do | |
if [[ $ISSUE_TITLE_LOWER == *$KEYWORD* ]] && [[ $ISSUE_TITLE_LOWER != *input* ]]; then | |
stat=yes | |
break | |
fi | |
done | |
if [[ $stat == yes ]]; then | |
echo "Issue title contains advertisement keywords." | |
gh issue delete $ISSUE_URL --yes | |
fi |