app.py

import tensorflow as tf
from tensorflow import keras
import gradio as gr

model = tf.keras.models.load_model('samplemodel01.keras')

def prediction(x):
    a2 = [[int(x)]]
    print (a2)
    a2 = tf.convert_to_tensor(a2)
    return model.predict(a2)


demo = gr.Interface(
    fn=prediction,
    inputs=["text"],
    outputs=["text"]
)

demo.launch(server_name="0.0.0.0", share=True)