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  # Reddit Explicit Text Classifier
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- [![Python application test with Github Actions](https://github.com/YZhu0225/reddit_text_classification/actions/workflows/main.yml/badge.svg)](https://github.com/YZhu0225/reddit_text_classification/actions/workflows/main.yml) [![Sync to Hugging Face hub](https://github.com/YZhu0225/reddit_text_classification/actions/workflows/sync_to_hugging_face_hub.yml/badge.svg)](https://github.com/YZhu0225/reddit_text_classification/actions/workflows/sync_to_hugging_face_hub.yml)
 
 
 
 
 
 
 
 
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  In this project, we created a text classifier Hugging Face Spaces app and Gradio interface that classifies not safe for work (NSFW) content, specifically text that is considered inappropriate and unprofessional. We used a pre-trained DistilBERT transformer model for the sentiment analysis. The model was fine-tuned on Reddit posts and predicts 2 classes - which are NSFW and safe for work (SFW).
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  # Reddit Explicit Text Classifier
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+ ![maven](http://img.shields.io/badge/Python-3.10.4-green)
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+ ![maven](http://img.shields.io/badge/gradio-3.13.0-orange)
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+ ![maven](http://img.shields.io/badge/praw-7.6.1-blue)
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+ ![maven](http://img.shields.io/badge/huggingface-0.11.1-yellowgreen)
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+ ![maven](http://img.shields.io/badge/torch-1.13.0-yellow)
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+ ![maven](http://img.shields.io/badge/transformers-4.25.1-lightgrey)
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+ [![Python application test with Github Actions](https://github.com/YZhu0225/reddit_text_classification/actions/workflows/main.yml/badge.svg)](https://github.com/YZhu0225/reddit_text_classification/actions/workflows/main.yml)
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+ [![Sync to Hugging Face hub](https://github.com/YZhu0225/reddit_text_classification/actions/workflows/sync_to_hugging_face_hub.yml/badge.svg)](https://github.com/YZhu0225/reddit_text_classification/actions/workflows/sync_to_hugging_face_hub.yml)
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  In this project, we created a text classifier Hugging Face Spaces app and Gradio interface that classifies not safe for work (NSFW) content, specifically text that is considered inappropriate and unprofessional. We used a pre-trained DistilBERT transformer model for the sentiment analysis. The model was fine-tuned on Reddit posts and predicts 2 classes - which are NSFW and safe for work (SFW).
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