| --- |
| title: SPACEMIND |
| colorFrom: red |
| colorTo: indigo |
| sdk: gradio |
| sdk_version: 6.29.1 |
| python_version: '3.12' |
| app_file: app.py |
| pinned: false |
| short_description: Behavioural health signals in astronaut oral histories |
| --- |
| |
| # SPACEMIND |
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| Paste or upload an astronaut oral history transcript and the app runs my pipeline step by step: word count, cleaning, removing the interviewer, segmenting, then all three of my models (VADER baseline, TF-IDF + logistic regression, BERT + LoRA) and a SHAP explanation for one segment. |
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| Files: |
| `app.py` (everything) |
| my LoRA adapter (`adapter_config.json`,`adapter_model.safetensors`) |
| the tokenizer (`tokenizer.json`, `tokenizer_config.json`) |
| the TF-IDF models (`tfidf_vectorizer.pkl`, `tfidf_logistic_models.pkl`) |
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| Research prototype: it flags passages for a person to read and does not diagnose anyone. |
