Joash
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metadata
title: Code Review Assistant
emoji: 🤖
colorFrom: blue
colorTo: green
sdk: gradio
sdk_version: 5.8.0
app_file: app.py
pinned: false
hf_oauth: false
hardware: a10g-small
inference: true
zerogpu: true

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

LLMOps Integration

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

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:

  • Hardware: A10G Small
  • Runtime: ZeroGPU enabled
  • Memory: Dynamic GPU allocation
  • Optimization: @spaces.GPU decorator

License

This project is licensed under the MIT License.