Update app.py

app.py

@@ -125,18 +125,19 @@ If the DOCUMENT doesn’t contain the facts to answer the QUESTION return {NONE}
     key="system_prompt")
 
 
+default_url = "https://raw.githubusercontent.com/grantjw/product_chatbot_rag/main/data/output_transcripts.csv"
 
 if "base_url" not in st.session_state:
-    st.session_state.base_url = ""
+    st.session_state.base_url = default_url
 
-base_url = st.text_input("Site URL", value=st.session_state.base_url, key="base_url", disabled=True)
 # Optionally, you can also display the URL in a non-editable text input as an FYI to the user
-#base_url = st.text_input("Site URL", value=st.session_state.base_url, key="base_url", disabled=True)
+base_url = st.text_input("Site URL", value=st.session_state.base_url, key="base_url", disabled=True)
 
 
 if st.session_state.base_url != "":
     
     retriever = get_retriever(base_url)
+
     # We store the conversation in the session state.
     # This will be used to render the chat conversation.
     # We initialize it with the first message we want to be greeted with.
@@ -160,7 +161,7 @@ if st.session_state.base_url != "":
     llm_chain = create_chain(retriever)
 
     # We take questions/instructions from the chat input to pass to the LLM
-    if user_prompt := st.chat_input("https://raw.githubusercontent.com/grantjw/aesop-review/main/output_transcripts.csv", key="user_input"):
+    if user_prompt := st.chat_input("Your message here", key="user_input"):
 
         # Add our input to the session state
         st.session_state.messages.append(
@@ -185,3 +186,4 @@ if st.session_state.base_url != "":
         # Add the response to the chat window
         with st.chat_message("assistant"):
             st.markdown(response)
+