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


loaded_model = load_learner('model.pkl')
categories = loaded_model.dls.vocab


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


image = gr.components.Image(height=512, width=512)
label = gr.components.Label()



title = "Pascal Multi Label Classifier"
description = "A multi label classifier trained on Pascal dataset."
examples = ['multilabel_bird_on_horse.jpg']
enable_queue=True


iface = gr.Interface(fn=classify_image, inputs=image, outputs=label, title=title,description=description,examples=examples)
iface.queue(max_size=3)
iface.launch(inline=False)