Fixed llm model name

app.py

@@ -57,7 +57,6 @@ else:
     )
 
     with st.sidebar:
-        model_name = st.selectbox("**Model**", options=["llama-3.1-70b-versatile","gemma2-9b-it","gemma-7b-it","llama-3.2-3b-preview", "llama3-70b-8192", "mixtral-8x7b-32768"])
         temp = st.slider("**Temperature**", min_value=0.0, max_value=1.0, step=0.001)
         n_docs = st.number_input("**Number of retireved documents**", min_value=0, max_value=10, value=5, step=1)
 
@@ -67,7 +66,7 @@ else:
 
     retriever = retriever(n_docs=n_docs)
     # Create Chain
-    chain = get_expression_chain(retriever,model_name,temp)
+    chain = get_expression_chain(retriever,"llama-3.3-70b-versatile",temp)
 
     for msg in st.session_state.langchain_messages:
         avatar = "🦜" if msg.type == "ai" else None