A newer version of the Gradio SDK is available: 6.31.0
metadata
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
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.
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)
Research prototype: it flags passages for a person to read and does not diagnose anyone.