__all__=['is_cat','learn','classify_image','categories','image','label','examples','intf']


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_image(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=['dog.jpg','cat.jpg','dunno.jpg']

intf=gr.Interface(fn=classify_image,inputs=image,outputs=label,examples=examples)
intf.launch(inline=False)
# def greet(name):
#     return "Hello " + name + "!!"

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