Update app.py

app.py

@@ -1,15 +1,20 @@
 import gradio as gr
+
 import numpy as np
 import pandas as pd
 import matplotlib.pyplot as plt
-from tensorflow import keras
-from tensorflow.keras import layers
 
+from tensorflow.keras.applications import ResNet50V2
+from tensorflow.keras.models import Sequential, load_model
+from tensorflow.keras.layers import Dense
+from tensorflow.keras.utils import to_categorical
+from tensorflow.keras.applications.resnet_v2 import preprocess_input
+from tensorflow.keras.preprocessing.image import load_img, img_to_array
 
 
 def greet(name):
 
-    model = keras.load_model('my_cnn_model.h5') # Loading the Tensorflow Saved Model (PB)    
+    model = load_model('my_cnn_model.h5') # Loading the Tensorflow Saved Model (PB)    
     
     return "Hello " + name + "!!" + model.summary()