web service

 Import necessary libraries
import tensorflow as tf
from keras.models import load_model
from flask import Flask, request

# Initialize the Flask app
app = Flask(_name_)

# Define the API endpoint
@app.route('/greet', methods=['GET'])
def greet():
    
    #get response value
    data = request.args.get('name')
    # Load the model
    model = load_model('model.h5')

    # Define any preprocessing functions
    def preprocess_data(data):
        # Perform necessary preprocessing steps
        return processed_data

    # Extract the input data from the API request
    data = request.get_json()

    # Preprocess the data
    processed_data = preprocess_data(data)

    # Make a prediction using the model
    prediction = model.predict(processed_data)

    return jsonify(prediction)

if _name_ == '_main_':
    app.run()