Update app.py

app.py

@@ -5,19 +5,19 @@ path_to_model = "./model_2.h5"
 
 model = tf.keras.models.load_model(path_to_model)
 
-labels = ['Acne and Rosacea Photos',
-                  'Actinic Keratosis Basal Cell Carcinoma and other Malignant Lesions', 
-                  'Atopic Dermatitis Photos', 'Bullous Disease Photos', 
-                  'Cellulitis Impetigo and other Bacterial Infections', 
-                  'Eczema Photos', 'Exanthems and Drug Eruptions', 'Hair Loss Photos Alopecia and other Hair Diseases', 
-                  'Herpes HPV and other STDs Photos', 'Light Diseases and Disorders of Pigmentation', 
-                  'Lupus and other Connective Tissue diseases',
-                  'Melanoma Skin Cancer Nevi and Moles', 'Nail Fungus and other Nail Disease', 
-                  'Poison Ivy Photos and other Contact Dermatitis', 
-                  'Psoriasis pictures Lichen Planus and related diseases', 'Scabies Lyme Disease and other Infestations and Bites', 
-                  'Seborrheic Keratoses and other Benign Tumors', 'Systemic Disease', 
-                  'Tinea Ringworm Candidiasis and other Fungal Infections', 
-                  'Urticaria Hives', 'Vascular Tumors', 'Vasculitis Photos', 'Warts Molluscum and other Viral Infections']
+labels = ['Acne and Rosacea',
+                  'Actinic Keratosis Basal Cell Carcinoma', 
+                  'Atopic Dermatitis', 'Bullous Disease', 
+                  'Cellulitis Impetigo (Bacterial Infections)', 
+                  'Eczema', 'Exanthems and Drug Eruptions', 'Hair Loss (Alopecia)', 
+                  'Herpes HPV', 'Disorders of Pigmentation', 
+                  'Lupus ',
+                  'Melanoma (Skin Cancer)', 'Nail Fungus', 
+                  'Poison Ivy', 
+                  'Psoriasis (Lichen Planus)', 'Scabies Lyme', 
+                  'Seborrheic Keratoses', 'Systemic Disease', 
+                  'Tinea Ringworm (Fungal Infections)', 
+                  'Urticaria Hives', 'Vascular Tumors', 'Vasculitis', 'Warts Molluscum']
 
 def classify_image(photos):
   photos = photos.reshape((-1, 256, 256, 3))