app.py

import gradio as gr
from fastai.vision.all import *
import skimage

learn = load_learner("mouth-open-closed-model.pkl")

labels = learn.dls.vocab


def predict(img):
    pred, pred_idx, probs = learn.predict(img)
    print(pred, pred_idx, probs)
    return {labels[i]: float(probs[i]) for i in range(len(labels))}


title = "Mouth State Classifier"
description = "Is the mouth open or closed? Demo for learning purposes :)"
examples = ["open-mouth-example.jpg", "closed-mouth-example.jpg"]
interpretation = "default"
enable_queue = True

gr.Interface(
    fn=predict,
    inputs=gr.inputs.Image(shape=(256, 256)),
    outputs=gr.outputs.Label(num_top_classes=3),
    title=title,
    description=description,
    examples=examples,
    interpretation=interpretation,
    enable_queue=enable_queue,
).launch()