import gradio as gr

from fastai.vision.all import *

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


categories = ('dog', 'cat')
def is_cat(x): return x[0].isupper() 

learner = load_learner("./model.pkl")
def classify(img):
    pred, idx, probs = learner.predict(img)
    return dict(zip(categories, map(float, probs)))



image = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label()
examples = ['cat.jpeg', 'dog.jpeg', 'Teddy.jpeg']
demo = gr.Interface(fn=classify, inputs=image, outputs=label)
demo.launch(inline = False)