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

learn = load_learner('snackdetector.pkl')

labels = learn.dls.vocab

def predict(img):
  img = PILImage.create(img)
  pred,pred_idx,probs = learn.predict(img)

  return {labels[i]: float(probs[i]) for i in range(len(labels))}

title = "Dutch Snack Detector"

description = "Dutch Snack Detector: Detect your Dutch snack and enjoy"

examples = ['frikandel.jpg']

#interpretation='default'

enable_queue=True

gr.Interface(fn=predict,inputs=gr.inputs.Image(shape=(224, 224)),outputs=gr.outputs.Label(num_top_classes=3),title=title,description=description,examples=examples,interpretation=interpretation,enable_queue=enable_queue).launch()