app.py

import gradio as gr
import tensorflow as tf
from tensorflow import keras
learn=tf.keras.models.load_model("gender_classification_model.h5")
categories=('male','female')
def classify_image(img):
    pred,idx,probs=learn.predict(img)
    return dict(zip(categories,map(float,probs)))
image=gr.inputs.Image(shape=(192,192))
label=gr.outputs.Label()
examples=['male.jpg','female.jpg']
intf=gr.Interface(fn=classify_image,inputs=image,outputs=label,examples=examples)
intf.launch(inline=False)