Spaces:
Sleeping
Sleeping
File size: 1,266 Bytes
1cefd9d 5f748e4 1cefd9d 26c69f0 1cefd9d |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 |
#!/usr/bin/env python
# coding: utf-8
import gradio as gr
import glob
from fastai.vision.all import load_learner, PILImage
def get_x(x):
return imgpath + f"{x[0]}"
def get_y(y):
return y[1]
learn_inf = load_learner('models/res18-tcia.pth')
labels = ['Low Risk', 'High Risk']
sample_xrays = glob.glob("examples/*")
def predict(img):
img = PILImage.create(img)
pred, pred_idx, probs = learn_inf.predict(img)
return {labels[i]: float(probs[i]) for i in range(len(labels))}
title = "AI Based COVID-19 Mortality Risk Assessment"
description = """This tool is designed to help assess the mortality risk
of a COVID-19 patient based on their chest X-ray. Mortality risk can be
defined as the likelihood of an individual dying. A ResNet-18 model was
trained and tested on datasets procured from Cohen et al. and Stony Brook
University. Just upload an image below and click "Submit" to obtain the
model's prediction."""
gr_interface = gr.Interface(fn=predict,
inputs="image",
outputs="label",
interpretation="default",
title=title, description=description,
examples=sample_xrays)
gr_interface.launch()
|