Update app.py

app.py

@@ -62,15 +62,21 @@ qa = RetrievalQA.from_llm(llm=llm, retriever=retriever)
 # Chatbot function
 def chatbot(selected_llm, user_input, chat_history):
     global llm
-    if selected_llm != llm.model_name:
-        llm = load_llm(selected_llm, llm_options[selected_llm])
+    if hasattr(llm, "pipeline"):  # Ensure llm has a pipeline
+        current_model = llm.pipeline.model.name_or_path  # Get the model name
+    else:
+        current_model = None  # Handle cases where llm is not initialized
     
+    if selected_llm != current_model:
+        llm = load_llm(selected_llm, llm_options[selected_llm])
+
     response = qa.invoke({"query": user_input})
     answer = response.get("result", "No response received.")
     chat_history.append(("🧑‍💻 You", user_input))
     chat_history.append(("🤖 Bot", answer))
     return chat_history, ""
 
+
 # Gradio Interface
 with gr.Blocks() as demo:
     gr.Markdown("# 🤖 RAG-Powered Chatbot")