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

learn = load_learner('export.pkl')

categories = learn.dls.vocab

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


image = gr.inputs.Image(shape=(224, 224))
label = gr.outputs.Label()
examples = ["example1.jpg", "example2.jpg", "example3.jpg"]

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