app.py

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

learn = load_learner('watersports.pkl')
categories = learn.dls.vocab

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

title = "Which Watersport?"
description = "Drag an image into the analyser.  Try to guess the water sport yourself, before hitting submit. \
You need to clear before dragging next image.  You can also drag images directly from a google search."
image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = './examples'

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