Spaces:
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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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## 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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- 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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This tool is designed to help developers and community managers understand the emotional context of discussions in GitHub repositories.
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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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## 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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## Installation (Optional for Local Use)
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To run locally, clone the repo and install dependencies:
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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
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