fix

app.py

@@ -97,7 +97,7 @@ noise = 0.01
 # Define a small neural network used to non-linearly transform the input data in our model
 
 fet1 = st.slider("Number of neurons in Layer1", min_value=2, max_value=30, value=15)
-fet2 = st.slider("Number of neurons in Layer1", min_value=2, max_value=30, value=10)
+fet2 = st.slider("Number of neurons in Layer2", min_value=2, max_value=30, value=10)
 
 class Transformer(nn.Module):
     @nn.compact