app.py

import gradio as gr
import fastai
from fastai.vision.all import *
learn=load_learner("class.pkl")
categories=('Lilly','Lotus','Orchid','Sunflower','Tulip')
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=['lilly.jpg','lotus.jpg','orchid.jpg','sunflower.jpg','tulip.jpg']
intf=gr.Interface(fn=classify_image,inputs=image,outputs=label,examples=examples)
intf.launch(inline=False)