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

learn = load_learner('export.pkl')

def classify_image(img):
    pred, pred_idx, probs = learn.predict(img)
    return dict(zip(learn.dls.vocab, map(float, probs)))

# def greet(name):
#     return "Hello " + name + "!!"

image = gr.Image(height=192, width=192)

intf = gr.Interface(fn=classify_image,
                    inputs=image,
                    outputs='label'
)

intf.launch(inline=False)