Update app.py

app.py

@@ -19,9 +19,9 @@ labels = ['Acne and Rosacea Photos',
                   'Tinea Ringworm Candidiasis and other Fungal Infections', 
                   'Urticaria Hives', 'Vascular Tumors', 'Vasculitis Photos', 'Warts Molluscum and other Viral Infections']
 
-def classify_image(image):
-  image = image.reshape((-1, 256, 256, 3))
-  prediction = model.predict(inp).flatten()
+def classify_image(photos):
+  photos = photos.reshape((-1, 256, 256, 3))
+  prediction = model.predict(photos).flatten()
   confidences = {labels[i]: float(prediction[i]) for i in range(23)}
   return confidences