app.py

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

learn = load_learner('hotdogmodel.pkl')

categories = ('bratwurst', 'chorizo', 'hotdog', 'kielbasa', 'pepperoni', 'salami', 'sausage')



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


image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()

intf = gr.Interface(fn=classify_image, inputs=image, outputs=label)
intf.launch(inline=False)