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  Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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+ # GitHub Comment Emotion Detector
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+
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+ ![GitHub Emotions](https://img.shields.io/badge/Status-Prototype-blue)
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+
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+ ## Overview
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+ **GitHub Comment Emotion Detector** is an interactive web application that detects the emotional tone of GitHub comments. Using a fine-tuned transformer model trained on the [GitHub Emotion Love dataset](https://huggingface.co/datasets/imranraad/github-emotion-love), it predicts six emotions:
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+
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+ - Anger
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+ - Love
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+ - Fear
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+ - Joy
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+ - Sadness
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+ - Surprise
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+
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+ This tool is designed to help developers and community managers understand the emotional context of discussions in GitHub repositories.
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+
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+ ---
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+
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+ ## Features
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+ - **Multi-label Emotion Detection**: Detects multiple emotions in a single comment.
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+ - **Interactive Web Interface**: Enter a comment and get real-time predictions.
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+ - **Easy Integration**: Can be extended to analyze batches of comments or integrated into GitHub tools.
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+
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+ ---
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+
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+ ## Demo
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+ Enter a GitHub comment in the text box and click **Submit** to see predicted emotions and their confidence scores.
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+
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+ ![Demo Screenshot](link-to-screenshot-if-available)
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+
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+ ---
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+
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+ ## Installation (Optional for Local Use)
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+ To run locally, clone the repo and install dependencies:
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+
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+ ```bash
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+ git clone https://huggingface.co/spaces/<your-space-name>
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+ cd <your-space-name>
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+ pip install -r requirements.txt
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+ python app.py