version https://git-lfs.github.com/spec/v1
oid sha256:94a95586fc417b6e28c88273f71000f399149454a01254e0755d0741ba973830
size 150
import gradio as gr
from fastai.vision.all import *

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

learn = load_learner('model.pkl')

categories = ['Dog', 'Cat']

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

image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ['dog.jpg', 'cat.jpg', 'dunno.jpg']

iface = gr.Interface(fn=classify_img, inputs=image, outputs=label)
iface.launch()