Update README.md

README.md

@@ -12,7 +12,7 @@ Using transfer learning, the model was then trained on the [intel image dataset.
 
 #### Performance
 The model achieved a test accuracy of 89,67%.  
-Misclassified images are often times ambiguous, such as a snowy mountain, being classified as 'glacier'.
+Misclassified images are often times ambiguous, such as a snowy mountain, being classified as 'glacier'.  
 The model architecture is quite simple, when compared to SOTA architectures and produces fast predictions.
 A prediction on the hugging face space, hosted on the free cpu, takes about 0.2 seconds.