app.py

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


learn = load_learner('model.pkl')
categories = ('granite', 'diorite', 'andacite', 'komatiites', 'gabbro')

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

image = gr.inputs.Image(shape=(250,250))
label = gr.outputs.Label()
examples = ['granite_test.jpg', 'komitiites_test.jpg']

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