Update app.py

app.py

@@ -18,11 +18,11 @@ This Space demonstrates model [Llama-2-70b-chat-hf](https://huggingface.co/meta-
 
 
 with st.sidebar:
-    # system_promptSide = st.text_input("Optional system prompt:")
+    system_promptSide = st.text_input("Optional system prompt:")
     temperatureSide = st.slider("Temperature", min_value=0.0, max_value=1.0, value=0.9, step=0.05)
     max_new_tokensSide = st.slider("Max new tokens", min_value=0.0, max_value=4096.0, value=4096.0, step=64.0)
-    # ToppSide = st.slider("Top-p (nucleus sampling)", min_value=0.0, max_value=1.0, value=0.6, step=0.05)
-    # RepetitionpenaltySide = st.slider("Repetition penalty", min_value=0.0, max_value=2.0, value=1.2, step=0.05)
+    ToppSide = st.slider("Top-p (nucleus sampling)", min_value=0.0, max_value=1.0, value=0.6, step=0.05)
+    RepetitionpenaltySide = st.slider("Repetition penalty", min_value=0.0, max_value=2.0, value=1.2, step=0.05)
 
 whisper_client = Client("https://sanchit-gandhi-whisper-large-v2.hf.space/")
 
@@ -100,7 +100,7 @@ if prompt := textinput:
     # Add user message to chat history
     st.session_state.messages.append({"role": "human", "content": prompt})
 
-    response = predict(message=prompt)#, temperature= temperatureSide,max_new_tokens=max_new_tokensSide)
+    response = predict(message=prompt, temperature= temperatureSide,max_new_tokens=max_new_tokensSide, Topp=ToppSide,Repetitionpenalty=RepetitionpenaltySide)
     # Display assistant response in chat message container
     with st.chat_message("assistant", avatar='🦙'):
         st.markdown(response)