🤖 AI Code Reviewer – Gradio Interface

This project provides an AI-powered automated code reviewer that checks uploaded source code files for:

• Code Style & Consistency (via CodeStyle.py)
• DRY & Modularity (via DRY.py)
• Security Compliance (via Security.py)

It offers an interactive Gradio UI where users can upload multiple Python files, review them automatically, and download a structured Excel report.

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📂 Project Structure

ReviewAgents/
│── CodeStyle.py       # Agent for code style & consistency checks
│── DRY.py             # Agent for modularity & DRY checks
│── Security.py        # Agent for security checks
Gradio_AICodeReviewer.ipynb  # Main notebook with Gradio UI
uploaded_folder_gradio/      # Temporary folder for uploaded files
ai_code_review_reports/      # Stores generated Excel reports

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⚙️ Features

• Gradio-based interface for uploading & reviewing files.
• Supports multiple file uploads in one session.
• Each review covers:
  • Repository-level insights
  • File-level findings
  • Line-level issues with suggested fixes
• Excel reports with 3 sheets:
  • Repository-Level Report
  • File-Level Report
  • Line-Level Report
• Reports include scores, comments, and recommendations.
• Uploaded files are deleted automatically after processing.

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📊 Output Example

Each review generates an Excel file inside ai_code_review_reports/, structured as:

1. Repository-Level Report → Overall project health, key risks, and compliance.
2. File-Level Report → File-wise issues, modularity, maintainability scores.
3. Line-Level Report → Specific code line issues, suggested fixes, security vulnerabilities.

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🛠️ Requirements

Install the required dependencies:

pip install pydantic langchain langchain_groq langchain-core langgraph python-dotenv bandit detect-secrets gradio pandas openpyxl XlsxWriter pylint openai

✅ datetime is part of Python’s standard library, no need to install separately.

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🚀 Usage

1. Clone this repository

   git clone https://github.com/your-username/ai-code-reviewer.git
   cd ai-code-reviewer

2. Install dependencies (see above).

3. Run the notebook
   Open Gradio_AICodeReviewer.ipynb in Jupyter/VS Code and execute the cells.

4. Upload your files

   • Drag & drop Python files into the Gradio interface.
   • Files are saved temporarily in uploaded_folder_gradio/.

5. Get your report

   • Processed results are saved in ai_code_review_reports/ as an Excel file.
   • Uploaded files are auto-deleted after review.

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🔐 Security Tools Used

• Bandit → Detects common Python security issues.
• Detect-Secrets → Identifies hardcoded secrets and credentials.
• Pylint → Ensures PEP8 compliance and code quality.

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🧩 Agents Overview

• CodeStyle.py → Linting, naming conventions, formatting, docstrings.
• DRY.py → Repetition detection, modularity improvements, refactoring suggestions.
• Security.py → Security compliance, secret detection, vulnerability scanning.

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📌 Notes

• Reports are generated in Excel format (.xlsx) for easy sharing.
• Supports multiple file uploads per run.
• Designed for extensibility → You can add new agents inside ReviewAgents/.

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📄 License

MIT License – feel free to use, modify, and share.

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🙌 Acknowledgements

• LangChain
• Gradio
• Bandit
• Detect-Secrets
• Pylint