app.py

# Example app.py for a TensorFlow model
import tensorflow as tf
import numpy as np
import gradio as gr

# Load your TensorFlow model
model = tf.keras.models.load_model('model/model.h5')

def predict(input_data):
    # Preprocess input
    processed_input = preprocess(input_data)
    
    # Make prediction
    prediction = model.predict(processed_input)
    
    # Postprocess prediction
    return postprocess(prediction)

# Create Gradio interface
iface = gr.Interface(
    fn=predict,
    inputs=gr.Textbox(label="Your Input"),
    outputs=gr.Textbox(label="Prediction")
)

if __name__ == "__main__":
    iface.launch()