import gradio as gr    
from huggingface_hub import from_pretrained_keras
import numpy as np
from PIL import Image




#reloaded_model_eth = from_pretrained_keras('jmparejaz/Facial_eth_recognition')

def rgb2gray(rgb):
    return np.dot(rgb[...,:3], [0.2989, 0.5870, 0.1140]) 
 
def fun(a):
    reloaded_model = from_pretrained_keras('jmparejaz/Facial_Age-gender-eth_Recognition')
    b=np.asarray(Image.open(a))
    
    return ("%s"%b,a)



iface = gr.Interface(fn=fun, inputs=gr.Image(shape=(48, 48), outputs=["text","image"])
iface.launch()