app.py

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

im = PILImage.create('angry.jpg')
im.thumbnail((192,192))
im

learn = load_learner('model.pkl')



learn.predict(im)

categories = ('not_angry', 'angry')
def classify_images(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 = ['angry.jpg', 'not_angry.jpg']

intf = gr.Interface(fn=classify_images, inputs=image, outputs=label, examples=examples)

intf.launch(inline=False)