Update app.py

app.py

@@ -10,10 +10,11 @@ model = tf.keras.models.load_model("car_brand_classifier_final.h5", compile=Fals
 # Define image directory where car brand images are stored
 IMAGE_DIR = "car_brands"  # Make sure this folder exists with images named as class labels
 
-# Preprocess image to match EfficientNetB0 input requirements
-def preprocess_image(image):
-    image = image.resize((224, 224))  # Resize to match EfficientNetB0
-    image = np.array(image) / 255.0  # Normalize
+# Define the preprocessing function
+def preprocess_image(image_path):
+    image = Image.open(image_path)  # Open image from path
+    image = image.resize((299, 299))  # Resize to model input size
+    image = np.array(image) / 255.0  # Normalize pixel values
     image = np.expand_dims(image, axis=0)  # Add batch dimension
     return image