Update app.py

app.py

@@ -9,6 +9,7 @@ from tensorflow.keras.applications.resnet50 import ResNet50, preprocess_input
 from sklearn.neighbors import NearestNeighbors
 from numpy.linalg import norm
 from chatbot import Chatbot  # Assuming you have a chatbot module
+import tensorflow as tf  # Make sure this import is included
 
 # Define function for feature extraction
 def feature_extraction(img_path, model):
@@ -51,7 +52,7 @@ def show_dashboard():
     # Load ResNet model for image feature extraction
     model = ResNet50(weights='imagenet', include_top=False, input_shape=(224, 224, 3))
     model.trainable = False
-    model = tensorflow.keras.Sequential([
+    model = tf.keras.Sequential([
         model,
         GlobalMaxPooling2D()
     ])