Update app.py

app.py

@@ -36,13 +36,6 @@ if st.button("Send"):
         else:
             st.error("No response from the model")
 
-
-
-
-
-
-
-
 # Model selection
 model = st.radio(
     "Model",
@@ -60,7 +53,7 @@ model = st.radio(
 # Input textbox
 input_text = st.text_input(label="Type an input and press Enter", placeholder="What is Deep Learning?")
 
-'''
+
 # Parameters
 with st.expander("Parameters", expanded=False):
     typical_p = st.slider("Typical P mass", min_value=0.0, max_value=1.0, value=0.2, step=0.05)
@@ -69,7 +62,7 @@ with st.expander("Parameters", expanded=False):
     top_k = st.slider("Top-k", min_value=1, max_value=50, value=50, step=1)
     repetition_penalty = st.slider("Repetition Penalty", min_value=0.1, max_value=3.0, value=1.03, step=0.01)
     watermark = st.checkbox("Text watermarking", value=False)
-
+'''
 # Submit button
 if st.button("Submit"):
     # Perform prediction