code: def classify_image(inp):
      inp = inp.reshape((-1, 224, 224, 3))
      inp = tf.keras.applications.mobilenet_v2.preprocess_input(inp)
      prediction = inception_net.predict(inp).flatten()
      return {labels[i]: float(prediction[i]) for i in range(1000)}
  
imports: import os
  import requests
  import tensorflow
  import gradio
label_desc: Use image node_id 1 for calling a global function with example usage: classify_image(inp) and returns: unknown