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


img = gr.inputs.Image(shape=(50,50))
label = gr.outputs.Label()
examples = ["dog.jpg",'cat.jpg','others.jpg']

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

iface = gr.Interface(fn=classify_image, inputs=img, outputs=label,examples=examples)
iface.launch()