Thanks, Google :)

A GitHub Action that automatically reviews pull requests using Google's Gemini AI.

• Review your PRs using Gemini API
• Give use comments and suggestions to improve the source codes

1. To use this GitHub Action, you need an Gemini API key. If you don't have one, sign up for an API key at Google AI Studio.

2. Add the Gemini API key as a GitHub Secret in your repository with the name GEMINI_API_KEY. You can find more information about GitHub Secrets here.

3. Create a .github/workflows/code-review.yml file in your repository and add the following content:

name: Gemini AI Code Reviewer

on:
  issue_comment:
    types: [created]

permissions: write-all

jobs:
  gemini-code-review:
    runs-on: ubuntu-latest
    if: |
      github.event.issue.pull_request &&
      contains(github.event.comment.body, '/gemini-review')
    steps:
      - name: PR Info
        run: |
          echo "Comment: ${{ github.event.comment.body }}"
          echo "Issue Number: ${{ github.event.issue.number }}"
          echo "Repository: ${{ github.repository }}"

      - name: Checkout Repo
        uses: actions/checkout@v3
        with:
          fetch-depth: 0

      - name: Get PR Details
        id: pr
        run: |
          PR_JSON=$(gh api repos/${{ github.repository }}/pulls/${{ github.event.issue.number }})
          echo "head_sha=$(echo $PR_JSON | jq -r .head.sha)" >> $GITHUB_OUTPUT
          echo "base_sha=$(echo $PR_JSON | jq -r .base.sha)" >> $GITHUB_OUTPUT
        env:
          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

      - uses: truongnh1992/gemini-ai-code-reviewer@latest
        with:
          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
          GEMINI_API_KEY: ${{ secrets.GEMINI_API_KEY }}
          GEMINI_MODEL: gemini-1.5-pro-002 # Optional, default is `gemini-1.5-flash-002`
          INPUT_EXCLUDE: "*.md,*.txt,package-lock.json,*.yml,*.yaml"

if you don't set GEMINI_MODEL, the default model is gemini-2.0-flash-001. gemini-1.5-flash-002 is a next-generation model offering speed and multimodal generation capabilities. It's suitable for a wide variety of tasks, including code generation, data extraction, and text editing.. For the detailed information about the models, please refer to Gemini models.

4. Commit codes to your repository, and working on your pull requests.
5. When you're ready to review the PR, you can trigger the workflow by commenting /gemini-review in the PR.

This GitHub Action uses the Gemini AI API to provide code review feedback. It works by:

1. Analyzing the changes: It grabs the code modifications from your pull request and filters out any files you don't want reviewed.
2. Consulting the Gemini model: It sends chunks of the modified code to the Gemini for analysis.
3. Providing feedback: Gemini AI examines the code and generates review comments.
4. Delivering the review: The Action adds the comments directly to your pull request on GitHub.

This project is licensed under the MIT License. See the LICENSE file for more information.