https://github.com/rafat3000/ai-review-code-in-docker-

https://github.com/rafat3000/ai-review-code-in-docker-

ai docker mlflow peewee python streamlit

Last synced: 15 days ago
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• Host: GitHub
• URL: https://github.com/rafat3000/ai-review-code-in-docker-
• Owner: Rafat3000
• Created: 2024-11-25T20:29:44.000Z (3 months ago)
• Default Branch: main
• Last Pushed: 2024-11-25T20:51:15.000Z (3 months ago)
• Last Synced: 2024-12-03T04:15:30.344Z (2 months ago)
• Topics: ai, docker, mlflow, peewee, python, streamlit
• Language: Python
• Homepage:
• Size: 12.7 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# AI-Review-code-in-docker-

# AI Code Review Assistant

This repository contains the source code for **AI Code Review Assistant**, a Streamlit-based web application designed to analyze and review programming code using AI-powered insights. The application supports multiple programming languages and provides feedback on code quality, maintaining a history of reviews for reference.

---

## Features

- **Interactive Sidebar**: View the last five code reviews directly from the sidebar.

- **Multi-language Support**: Select from a list of supported programming languages.

- **Code Review with AI**: Analyze your code quality using AI and receive actionable feedback.

- **Save Review History**: Automatically stores code review data, language, and quality score for future reference.

---

## Installation

1. Clone the repository:

   ```bash

   git clone https://github.com/your-username/ai-code-review-assistant.git

2- Navigate to the project directory:

cd ai-code-review-assistant

3- Install the required Python libraries:

pip install -r requirements.txt

4- Create and configure your database (if not pre-configured). You may need to customize the database.py file for your specific database settings.

------------------------

# Usage

1- Run the application:

streamlit run main.py

2- Open the app in your web browser at http://localhost:8501.

3- Use the interface to:

  - Select the programming language.

  - Input your code for review.

  - View the AI-generated review and code quality score.

4- Access recent reviews from the sidebar.

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## Project Structure

- main.py: The primary application file containing the Streamlit app logic.

- database.py: Handles database initialization and operations for storing and retrieving reviews.

- ai.py: Contains the AI logic for analyzing and reviewing code.

- utils.py: Utility functions, such as extracting quality scores from AI reviews.

- config.py: Configuration settings, including supported programming languages.

_____

## Requirements

- Python 3.8 or higher

- Streamlit

- Database support (SQLite, MySQL, or similar)

- AI dependencies (specified in requirements.txt)

-------

## Customization

- Add or remove programming languages by editing the PROGRAMMING_LANGUAGES list in config.py.

- Adjust database configurations in database.py to suit your environment.

- Modify the AI logic in ai.py to integrate with different AI models or APIs.

--------

## Contribution

Contributions are welcome! Please fork the repository, create a new branch, and submit a pull request with your changes.

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## License

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