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

def ice_cream(x): return x[0].isupper()

learn = load_learner('export.pkl')

categories = ('choco chip', 'classical chocolate','mint chocolate')

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()
examples = ['images/img1.png','images/img2.png','images/image.png']

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