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

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

# temp = pathlib.PosixPath
# pathlib.PosixPath = pathlib.WindowsPath

learn = load_learner('model.pkl')

categories = ('Dog', 'Cat')

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

image = gr.Image(height=192, width=192)
label = gr.Label()
examples = ['dog.jpg', 'doraemon.jpg', 'cat.jpg']

intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch(inline=False)
# import gradio as gr

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

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