app.py

import gradio as gr
import tensorflow as tf
import numpy as np
from huggingface_hub import from_pretrained_keras





def greet(image):
    model = from_pretrained_keras("vahidrezanezhad/sbb_binarization")
    print(np.shape(image))
    print(type(image))
    prediction = model.predict(image.reshape(1,image.shape[0],image.shape[1],image.shape[2]))
    prediction = tf.squeeze(tf.round(prediction))

    print(prediction.shape)
    
    #print(model.summary())
    return "Hello "

iface = gr.Interface(fn=greet, inputs="image", outputs="text")
iface.launch()