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

learn = load_learner('model.pkl')

categories = ('Golf', 'Soccer')

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

image = gr.Image()  # No need for the shape argument
label = gr.Label()

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

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

# iface = gr.Interface(fn=greet, inputs="text", outputs="text")
# iface.launch()