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

# def greet(name):
#     return "Hello " + name + "!!" + "and hello world 123f"

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

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.png', 'cat.png', 'cat2.png', 'dunno.png']
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch()