Spaces:
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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.