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| title: Fake News Detector | |
| emoji: 💻 | |
| colorFrom: indigo | |
| colorTo: blue | |
| sdk: streamlit | |
| sdk_version: 1.49.1 | |
| app_file: app.py | |
| pinned: false | |
| # Fake News Detector | |
| This project is a Fake News Detection system using DistilBERT and PyTorch, with a Streamlit web app for user interaction. | |
| ## Features | |
| - Data preprocessing and visualization (Jupyter Notebook) | |
| - Model training using DistilBERT embeddings | |
| - Streamlit app for real-time news classification | |
| ## Files | |
| - `Fakke_news_detector.ipynb`: Data analysis, preprocessing, model training | |
| - `app.py`: Streamlit web app for fake news detection | |
| - `News_classifier.pt`: Trained PyTorch model weights | |
| - `tokenizer_distilbert/`: Saved tokenizer files |