app.py

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

learn = load_learner('test.pkl')


categories = learn.dls.vocab

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


image = gr.inputs.Image(shape=(48, 48))
label = gr.outputs.Label()
examples = ['untitled.jpg']


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