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@@ -6,18 +6,30 @@ colorTo: red
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  sdk: gradio
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  sdk_version: 5.30.0
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  app_file: app.py
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- pinned: false
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  license: apache-2.0
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  ---
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- # Solar Panel Fault Detection
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- This Streamlit app uses a custom Roboflow workflow to detect faults in thermal videos of solar panels.
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- ## Usage
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- 1. Upload an MP4 thermal video.
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- 2. The app runs your Roboflow model workflow on each frame.
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- 3. Outputs an annotated video and a log of detected faults.
 
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- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
 
 
 
 
 
 
 
 
 
 
 
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  sdk: gradio
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  sdk_version: 5.30.0
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  app_file: app.py
 
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  license: apache-2.0
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  ---
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+ # Solar Panel Fault Detection (Roboflow + Gradio)
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+ This project provides a Gradio web app to detect faults in solar panels from thermal videos using a custom Roboflow InferencePipeline workflow.
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+ ## Features
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+ - Upload a thermal video (MP4).
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+ - Runs inference using your custom Roboflow workflow.
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+ - Displays annotated output video with fault bounding boxes.
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+ - Shows a table with detected faults and confidence scores.
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+ ## Requirements
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+ - Python 3.7+
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+ - The packages listed in `requirements.txt`.
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+
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+ ## Installation
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+
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+ 1. Clone the repo or download the files.
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+ 2. Create a virtual environment (optional but recommended):
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+
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+ ```bash
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+ python -m venv venv
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+ source venv/bin/activate # Linux/macOS
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+ venv\Scripts\activate # Windows