Update app.py

app.py

@@ -36,7 +36,7 @@ Siamo dei ricercatori del laboratorio [AImageLab](https://aimagelab.ing.unimore.
 Alcuni di noi lavorano sul **Medical Imaging con uso di Intelligenza Artificiale** 🧠🧑‍⚕️👩‍⚕️🥼
 
 ### Technical Details 🤓
-The architecture used is a pre- trained Vision Transformer (ViT) on the ImageNet21k, with a fine-tuning on the [HAM10k dataset](https://huggingface.co/datasets/marmal88/skin_cancer) and a modified head to accommodate for the classes: Classes: Benign keratosis-like lesions, Basal cell carcinoma, Actinic keratoses, Vascular lesions, Melanocytic nevi, Melanoma, Dermatofibroma.
+The architecture used is a pre- trained Vision Transformer (ViT) on the ImageNet21k, with a fine-tuning on the [HAM10k dataset](https://huggingface.co/datasets/marmal88/skin_cancer) and a modified head to accommodate for the classes: Benign keratosis-like lesions, Basal cell carcinoma, Actinic keratoses, Vascular lesions, Melanocytic nevi, Melanoma, Dermatofibroma.
 The best validation accuracy obtained was 0.9695. However this score is not a good indicator of performance given the class imbalances present in the dataset.
 
 ### Credits