Spaces:
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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. |