#import gradio as gr

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

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



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 = ['cat.jpg']

#intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf = gr.Interface(fn=classify_image, 
             inputs=gr.Image(type="pil"),
             outputs=gr.Label(num_top_classes=3),
             examples=["cat.jpg"])
intf.launch(inline=False)