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| title: Mental Health Text Classifier (BERT Final v1) | |
| emoji: "🧠" | |
| colorFrom: blue | |
| colorTo: pink | |
| sdk: gradio | |
| sdk_version: 4.44.0 | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| tags: | |
| - text-classification | |
| - mental-health | |
| - bert | |
| - pytorch | |
| - transformers | |
| # Mental Health Text Classifier (BERT Final v1) | |
| This Space serves a fine-tuned BERT model that classifies text into three categories: | |
| - Normal | |
| - Distressed | |
| - Suicidal | |
| ## Model | |
| - Architecture: BERT-base fine-tuned for sequence classification | |
| - Framework: PyTorch + Transformers | |
| - Labels: 0 = Normal, 1 = Distressed, 2 = Suicidal | |
| ## Usage | |
| Enter text in the input box and click Analyze Text to see the predicted class and class probabilities. | |
| ## Disclaimer | |
| This tool is for research and educational purposes only and should not be used as a substitute for | |
| professional mental health care. If you or someone you know is experiencing a mental health crisis, | |
| please contact a mental health professional or crisis helpline immediately. | |