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

learn = load_learner('model.pkl')

def predict(img):
    img = PILImage.create(img)
    pred,pred_idx,probs = learn.predict(img)
    return {labels[i]: float(probs[i]) for i in range(len(labels))}

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

intf = gr.Interface(fn=predict, inputs=image, outputs=label)
intf.launch(inline=False)


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

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