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

# def is_maths(x): return x[0].isupper()

learn = load_learner("model.pkl")

categories = ('Make Noise Maths', 'Make Noise Mimeophon')

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

image = gr.Image(type="pil")
label = gr.Label()
examples = [
    "images/make-noise-maths.jpg",
    "images/make-noise-mimeophon.jpg"
    ]

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