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

learn = load_learner("export.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=(192,192)) 
label = gr.outputs.Label() 
examples = glob.glob("./images/*.jpg")
intf= gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch(inline=False)