app.py

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

def is_cat(x):
    return x[0].isupper()

learn = load_learner('moedl.pkl')

labels = learn.dsl.vocab

def predict(img):
    img = PILImage.create(img)
    pred,pred_ikx,probs = learn.predict(img)
    return {labels[i]: float(probs[i]) for i in range(len(labels))}

gr.Interface(
    fn=predict,
    inputs=gr.inputs.Image(shape=(512, 512)),
    outputs=gr.outputs.Label(num_top_classes=3),
    title='Cat classifier'
    description= '',
    interpretation='default',
    enable_queue=True
).launch()