import requests
import tensorflow as tf

# URL of the model file
url = "https://storage.googleapis.com/mediapipe-models/interactive_segmenter/magic_touch/float32/1/magic_touch.tflite"

# Send a HTTP request to the URL of the file, get is a method that sends a HTTP request to the server and fetches the response
response = requests.get(url)

# Write the response content to a file
with open('model.tflite', 'wb') as f:
    f.write(response.content)

# Load the TFLite model
interpreter = tf.lite.Interpreter(model_path="model.tflite")
interpreter.allocate_tensors()