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| title: Robo Flow | |
| emoji: 💻 | |
| colorFrom: green | |
| colorTo: red | |
| sdk: gradio | |
| sdk_version: 5.30.0 | |
| app_file: app.py | |
| license: apache-2.0 | |
| # Solar Panel Fault Detection (Roboflow + Gradio) | |
| This project provides a Gradio web app to detect faults in solar panels from thermal images or videos using a custom Roboflow InferencePipeline workflow. | |
| ## Features | |
| - YOLOv5-based fault detection model trained on Roboflow datasets. | |
| - Easy-to-use web interface powered by Gradio. | |
| - Real-time detection with annotated outputs. | |
| ## Requirements | |
| - Python 3.7+ | |
| - Packages listed in `requirements.txt` | |
| ## Installation | |
| 1. Clone the repository or download the files. | |
| 2. (Optional) Create and activate a virtual environment: | |
| ```bash | |
| python -m venv venv | |
| source venv/bin/activate # Linux/macOS | |
| venv\Scripts\activate # Windows | |