app.py

import tensorflow as tf
from keras.models import load_model
import gradio as gr
model = load_model('model.h5')
def image_mod(image):
    new_var = "y"
    return new_var

gr.Interface(fn=image_mod,
             inputs=gr.Image(shape=(224, 224)),
             outputs=gr.Label(num_top_classes=3),
             examples=["Sunny_day_in_Hiroo.jpg","640px-Cloudy_Sky2.JPG","Foggy_day_of_Riga.jpg","Jida,_Zhuhai,_rainy_day.jpg","Odalys_Edenarc,_Arc_1800,_on_a_snowy_day,_2013.jpg"]).launch()