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

learn = load_learner('bear_export.pkl')

categories = ('Black', 'Grizzly', 'Teddy')

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

image = gr.Image(width=192,height=192)
label = gr.Label()

demo = gr.Interface(fn=classify_image, 
                    inputs=image, 
                    outputs=label, 
                    examples=["Grizzly.jpg", "Black.jpg", "Teddy.png"],
                    title="Bear Classifier",
                    description="Upload an Image to Test")
demo.launch(inline=False)

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

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