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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() |