README.md

metadata

title: Code Review Assistant
emoji: 🤖
colorFrom: blue
colorTo: green
sdk: gradio
sdk_version: 4.0.0
app_file: app.py
pinned: false
hf_oauth: false
hardware: a10g-small

Code Review Assistant

An automated code review system powered by Gemma-2b that provides intelligent code analysis, suggestions for improvements, and tracks review metrics.

Features

Automated Code Review

• Analyzes code quality and suggests improvements
• Identifies potential bugs and security issues
• Recommends best practices and optimizations
• Supports multiple programming languages (Python, JavaScript, Java, C++, TypeScript, Go, Rust)

LLMOps Integration

• Uses Gemma-2b for intelligent code analysis
• Tracks model performance and accuracy
• Monitors response times and token usage
• Optimized with ZeroGPU for efficient inference

Performance Monitoring

• Real-time metrics dashboard
• Review history tracking
• Response time monitoring
• Usage statistics

User Interface

• Simple and intuitive Gradio interface
• Code input with syntax highlighting
• Language selection dropdown
• Example code snippets included

Environment Variables

The following environment variables need to be set in your Hugging Face Space:

• HUGGING_FACE_TOKEN: Your Hugging Face API token (required)
• MODEL_NAME: google/gemma-2b-it (default)

Hardware Configuration

This Space uses:

• Runtime: ZeroGPU
• Hardware: A10G Small
• Memory: Optimized for efficient model inference

Usage

1. Enter your code in the text box
2. Select the programming language from the dropdown
3. Click "Submit for Review"
4. View the detailed analysis including:
   • Critical issues
   • Suggested improvements
   • Best practices
   • Security considerations

Model Details

This application uses the Gemma-2b-it model from Google, which is:

• Optimized for instruction following
• Capable of detailed code analysis
• Efficient for deployment
• Suitable for code review tasks

License

This project is licensed under the MIT License.