app.py

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')
    inp = inp.reshape((-1, 224, 224, 3))
    
    return inp



gr.Interface(fn=fun, inputs="images", outputs="text").launch()