cap temperature to 2.0 as it is the maximum for openai gpt models

streamlit_app.py

@@ -24,7 +24,7 @@ with st.sidebar:
 
     st.subheader('Models and parameters')
     selected_model = st.sidebar.selectbox('Choose an OpenAI model', ['gpt-3.5-turbo-1106', 'gpt-4-1106-preview'], key='selected_model')
-    temperature = st.sidebar.slider('temperature', min_value=0.01, max_value=5.0, value=0.1, step=0.01)
+    temperature = st.sidebar.slider('temperature', min_value=0.01, max_value=2.0, value=0.1, step=0.01)
     st.markdown('📖 Reach out to Sakimilo to learn how to create this app!')
 
 # Store LLM generated responses
@@ -42,8 +42,8 @@ st.sidebar.button('Clear Chat History', on_click=clear_chat_history)
 
 def generate_llm_response(prompt_input):
     system_content = ("You are a helpful assistant. "
-                       "You do not respond as 'User' or pretend to be 'User'. "
-                       "You only respond once as 'Assistant'."
+                      "You do not respond as 'User' or pretend to be 'User'. "
+                      "You only respond once as 'Assistant'."
     )
 
     completion = client.chat.completions.create(