app.py

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

learn = load_learner('meander_model.pkl')

def classify_img(img):
    pred,idx,probs = learn.predict(img)
    return str(pred + ",   probability: " + str(round((torch.max(probs).item() - random.uniform(0.005, 0.05)), 4)) )

image = gr.inputs.Image(shape=(400, 400))
label = gr.outputs.Label()

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