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

learn = load_learner("export.pkl")

categories = ("alternators", "bale spears", "clutch disks", "mower baldes")

def classify_image(img):
  pred, 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 = ['TCU30317-Media-JDActual1200Wx1200H.jfif', 'download.jfif']
intf = gr.Interface(fn = classify_image, inputs = image, outputs = label, examples = examples)
intf.launch(inline = False)