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

# model
learn = load_learner("face_mask_detection_model.pkl")
labels = {"Wearing Mask", "No Mask"}

def classify_image(img):
    pred, idx, probs = learn.predict(img)
    return dict(zip(labels, map(float, probs)))

# gradio interface
image = gr.inputs.Image(shape=(224,224))
label = gr.outputs.Label()
examples = ["example.jpg"]

intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch(inline=False)