#!/usr/bin/env python

# In[68]:
import gradio as gr
#|export
from fastai.vision.all import *

# In[70]:

#|export
learn = load_learner("race_model.pkl")

# In[71]:

#learn.predict(im)

# In[72]:

#|export
categories = learn.dls.vocab


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


# In[73]:

#classify_image(im)

# In[74]:

#|export
demo = gr.Interface(fn=classify_image, inputs="image", outputs="label", examples=["1.jpg", "2.jpg", "3.jpg"])
demo.launch(inline=False)