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

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

learn = load_learner('model.pkl')

categories = ('Dog','Cat')

def classify_images(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 = ['cannis.jpeg', 'feline.jpeg']

#def greet(name):
#    return "Hello " + name + "!!"

#iface = gr.Interface(fn=greet, inputs="text", outputs="text")
#iface.launch()

iface = gr.Interface(fn=classify_images, inputs=image, outputs=label, examples=examples)
iface.launch(inline=False, share=true)