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

# def greet(name):
#     return "Hello " + name + "!!"
im = PILImage.create('Cat.jpg')

categories = ('Dog','Cat')
learn = load_learner('model.pkl')

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

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

# classify_image(im)

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

intf = gr.Interface(fn=classify_image,inputs=image,outputs=label,examples=examples)
intf.launch(inline=False,share=True)


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