app.py

__all__ = ['facemark', 'learn', 'classify_image', 'categories', 'image', 'labels', 'into']

from fastai.vision.all import *
from huggingface_hub import from_pretrained_fastai
import gradio as gr

learn = from_pretrained_fastai('mauricioplopes/facemask-model')

categories = ('WithMask', 'WithoutMask')

# Function to classify an image
def classify_image(image_path):
    # Open and display the image
    img = PILImage.create(image_path)
    img.show()

    # Make predictions on the image
    pred, class_idx, proba = learn.predict(img)
    class_idx = class_idx.item()

    # Get the predicted class label and confidence score
    result = {'WithMask': proba[0].numpy().tolist(), 'WithoutMask': proba[1].numpy().tolist()}

    return result


image = gr.inputs.Image(shape = (192, 192))
label = gr.outputs.Label()

into = gr.Interface(fn = classify_image, inputs = image, outputs = label)
into.launch(inline = False, share = True)