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| title: Code Review Assistant V3 | |
| emoji: 🔍 | |
| colorFrom: blue | |
| colorTo: purple | |
| sdk: gradio | |
| sdk_version: 5.9.0 | |
| app_file: app.py | |
| pinned: false | |
| # Code Review Assistant V3 | |
| This Space provides an automated code review system powered by Gemma-2b-it. It analyzes code and provides suggestions for improvements in multiple categories including issues, improvements, best practices, and security considerations. | |
| ## Features | |
| - 🔍 Automated code review for multiple programming languages | |
| - 💡 Detailed suggestions for code improvements | |
| - 🔒 Security considerations and best practices | |
| - 📊 Review history and performance metrics | |
| - ⚡ GPU-accelerated inference | |
| - 🎨 Clean and intuitive interface | |
| ## Supported Languages | |
| - Python | |
| - JavaScript | |
| - Java | |
| - C++ | |
| - TypeScript | |
| - Go | |
| - Rust | |
| ## Usage | |
| 1. Select the programming language from the dropdown | |
| 2. Paste your code in the input box | |
| 3. Click "Submit for Review" | |
| 4. View the detailed review suggestions | |
| 5. Check the History tab to see previous reviews | |
| 6. Monitor performance in the Metrics tab | |
| ## Technical Details | |
| - Model: google/gemma-2b-it | |
| - Framework: Gradio | |
| - Inference: GPU-accelerated with PyTorch | |
| - Persistent storage for review history and metrics | |
| ## Environment Setup | |
| The Space requires the following environment variables: | |
| - `HUGGING_FACE_TOKEN`: Your Hugging Face token for model access | |
| - `MODEL_NAME`: Defaults to "google/gemma-2b-it" | |
| ## License | |
| MIT License |