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
+* 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 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