app.py

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

def is_cat(x):
    return x[0].isupper()
    
learner = load_learner('model.pkl')

categories = ('cat', 'dog')

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

image = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label()

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