import gradio as gr

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

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

inf = load_learner('export.pkl')

#categories = ('Cat', 'Cheetah', 'Other', 'Leopard', 'Lion', 'Snow Leopard', 'Tiger')

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

    #|export

#This creates the gradio interface

image = gr.Image(shape=(192,192))
label = gr.outputs.Label()

#examples = ['cheetah.jpg','leopard.jpg','img.jpg']

#intf = gr.Interface(fn = classify_img, inputs=image,outputs=label,examples = examples)

intf.launch()