Update app.py

app.py

@@ -2,6 +2,9 @@ import gradio as gr
 import tensorflow as tf
 import gdown
 from PIL import Image
+import keras_nlp
+from tensorflow import keras
+import time
 
 input_shape = (32, 32, 3)
 resized_shape = (299, 299, 3)
@@ -19,6 +22,20 @@ labels = {
     9: "truck",
 }
 
+# Download the NLP model 
+def download_model_NLP():
+    pass
+    
+    
+    #url = "https://drive.google.com/uc?id=1zUGAPg9RVgo7bWtf_-L9MXoXKldZjs1y"
+    #output = "CIFAR10_Xception_(ACC_0.9704__LOSS_0.0335_).h5"
+    #gdown.download(url, output, quiet=False)
+    #return output
+
+
+
+
+
 # Download the model file
 def download_model():
     url = "https://drive.google.com/uc?id=1zUGAPg9RVgo7bWtf_-L9MXoXKldZjs1y"