Update app.py

app.py

@@ -1,6 +1,5 @@
 import requests
 import tensorflow as tf
-
 import gradio as gr
 
 inception_net = tf.keras.applications.MobileNetV2()  # load the model
@@ -9,14 +8,12 @@ inception_net = tf.keras.applications.MobileNetV2()  # load the model
 response = requests.get("https://git.io/JJkYN")
 labels = response.text.split("\n")
 
-
 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)}
 
-
 image = gr.Image(shape=(224, 224))
 label = gr.Label(num_top_classes=3)