app.py

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

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

learned = load_learner('model.pkl')

labels = learned.dls.vocab

def predict (img):
  img = PILImage.create(img)
  pred, pred_idx, probs = learned.predict(img)
  return dict(zip(labels, map(float, probs)))

title = "Cat Predictor"
examples= ["tabby.jpg"]

iface = gr.Interface(fn=predict, title=title, examples=examples, inputs=gr.inputs.Image(shape=(512, 512)), outputs=gr.outputs.Label(num_top_classes=3))

iface.launch(debug=True)