Update app.py

app.py

@@ -12,7 +12,7 @@ mobile_net = tf.keras.applications.MobileNetV2()
 def image_classifier(img):
     arr = np.expand_dims(img, axis=0)
     arr = tf.keras.applications.mobilenet.preprocess_input(arr)
-    prediction = mobile_net.prediction(arr).flatten()
+    prediction = mobile_net.predict(arr).flatten()
     return {labels[i]:float(prediction[i]) for i in range(1000)}
 iface = gr.Interface(
     image_classifier,