Update app.py

app.py

@@ -67,9 +67,8 @@ def llm_response(openai_key, message, chat_history):
                          model_kwargs={"max_length":512,"do_sample":True,
                                        "temperature":0.2})
   qa_chain = RetrievalQA.from_chain_type(llm = llm,
-                                       chain_type = "stuff", # map_reduce, map_rerank, stuff, refine
+                                       chain_type = "stuff",
                                        retriever = vectordb.as_retriever(search_kwargs = {"k": 10}), 
-                                       #chain_type_kwargs = {"prompt": PROMPT},
                                        return_source_documents = False,
                                        verbose = True)
   result = qa_chain(message)["result"]
@@ -94,8 +93,6 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
   with gr.Row():
     load_docs = gr.Button("Load documents and urls", variant="primary", scale=1)
     loading_status = gr.Textbox(label="Loading status", placeholder="", interactive=False, scale=0)
-    if loading_status == "loaded":
-      gr.Info("Documents loaded")
   with gr.Row():
     with gr.Column(scale=1):
       msg = gr.Textbox(label="User message")