fix order

app.py

@@ -125,10 +125,11 @@ def main():
         label_key = st.selectbox(ATTRIBUTE_LABEL[language], ["Negative"])
         target_label_id = 0
         act_type = "softmax"
-    st.write(WARNING_TEXT[language])
-    show_pos_alpha = st.checkbox("Show positive alphas", value=False)
+
     st.markdown(r"""In our method, we reweight the probability of the next token with the external classifier, namely, the Attribute model. If $\alpha$ parameter is equal to zero we can see that the distribution below collapses into a simple language model without any modification. If alpha is below zero then every generation step attribute model tries to minimize the probability of the desired attribute. Otherwise, the model is forced to produce text with a higher probability of the attribute.""")
     st.latex(r"p(x_i|x_{<i}, c) \propto p(x_i|x_{<i})p(c|x_{\leq i})^{\alpha}")
+    st.write(WARNING_TEXT[language])
+    show_pos_alpha = st.checkbox("Show positive alphas", value=False)
     if act_type == "softmax":
         alpha = st.slider("α", min_value=-40, max_value=40 if show_pos_alpha else 0, step=1, value=0)
     else: