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

path = Path()
learn = load_learner('model.pkl')

labels = learn.dls.vocab # read labels from Data Loader
def predict(img):
    pred,pred_idx,probs = learn.predict(img) # use passed image for prediction
    return {labels[i]: float(probs[i]) for i in range(len(labels))} # return all results

gradio_interface = gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(512, 512)), outputs=gr.outputs.Label(num_top_classes=3))
gradio_interface.launch()

#mean comment