Update README.md

README.md

@@ -46,20 +46,20 @@ Users should test the model on other datasets to ensure generalizability and acc
 
 **Here is a sample code snippet to use the model:**
 
-#import tensorflow as tf
-#from tensorflow.keras.utils import load_img, img_to_array
-#import numpy as np
-
-*Load and preprocess an image:*
-#img_path = 'path_to_image.jpg'
-#img = load_img(img_path, target_size=(224, 224))
-#img_array = img_to_array(img) / 255.0
-#img_array = np.expand_dims(img_array, axis=0)
-
-*Predict with the model:*
-#prediction = model.predict(img_array)
-#predicted_class = prediction.argmax()
-#print(f"Predicted class: {predicted_class}")
+# import tensorflow as tf
+* from tensorflow.keras.utils import load_img, img_to_array
+# import numpy as np
+
+* Load and preprocess an image: *
+# img_path = 'path_to_image.jpg'
+# img = load_img(img_path, target_size=(224, 224))
+# img_array = img_to_array(img) / 255.0
+# img_array = np.expand_dims(img_array, axis=0)
+
+* Predict with the model: *
+# prediction = model.predict(img_array)
+# predicted_class = prediction.argmax()
+# print(f"Predicted class: {predicted_class}")
 
 ## Training Details