import gradio as gr | |
import numpy as np | |
def predict_glucose(bioimpedance_value): | |
# Modelo simple simulado: fórmula inventada para demo | |
glucose = 0.75 * bioimpedance_value + 20 | |
return round(glucose, 2) | |
demo = gr.Interface( | |
fn=predict_glucose, | |
inputs=gr.Slider(minimum=200, maximum=1500, label="Bioimpedance (Ohms)"), | |
outputs=gr.Number(label="Estimated Glucose (mg/dL)"), | |
title="WITO - Glucose Estimator", | |
description="Enter a bioimpedance value and get a predicted glucose level." | |
) | |
demo.launch() | |