app.py

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

learn = load_learner('export.pkl')

labels = learn.dls.vocab

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))}

title = "Fruit Classifier"
image = gr.Image(shape=(224, 224))
label = gr.Label(num_top_classes=6)
app = gr.Interface(fn=predict, inputs=image, outputs=label,title=title, share=True)
app.launch()