README.md

---
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.