Update app.py

app.py

@@ -1,20 +1,28 @@
-import tensorflow as tf
 import requests
-import gradio as gr
+import tensorflow as tf
 
 inception_net = tf.keras.applications.MobileNetV2()
 
+import requests
+
+# Download human-readable labels for ImageNet.
 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()
   confidences = {labels[i]: float(prediction[i]) for i in range(1000)}
   return confidences
+  
+
+import gradio as gr
 
-interface = gr.Interface(fn=classify_image,
+gr.Interface(fn=classify_image, 
              inputs=gr.inputs.Image(shape=(224, 224)),
-             outputs=gr.outputs.Label(num_top_classes=3))
-interface.launch()
+             outputs=gr.outputs.Label(num_top_classes=3),
+             examples=["banana.jpg", "car.jpg"],             
+             theme="default",
+             css=".footer{display:none !important}").launch()