Update app.py

app.py

@@ -294,13 +294,13 @@ def demo():
         collection_name = gr.State()
         
         gr.Markdown(
-        """<center><h2>PDF-based chatbot</center></h2>
+        """<center><h2>Vertex AI PDF-based chatbot</center></h2>
         <h3>Ask any questions about your PDF documents</h3>""")
         gr.Markdown(
-        """<b>Note:</b> This AI assistant, using Langchain and open-source LLMs, performs retrieval-augmented generation (RAG) from your PDF documents. \
+        """<b>Note:</b> This AI assistant, using Langchain and Vertex AI, performs retrieval-augmented generation (RAG) from your PDF documents. \
         The user interface explicitely shows multiple steps to help understand the RAG workflow. 
         This chatbot takes past questions into account when generating answers (via conversational memory), and includes document references for clarity purposes.<br>
-        <br><b>Warning:</b> This space uses the free CPU Basic hardware from Hugging Face. Some steps and LLM models used below (free inference endpoints) can take some time to generate a reply.
+        <br><b>Warning:</b> This space uses the free CPU Basic hardware from Hugging Face. Some steps can take some time to generate a reply.
         """)
         
         with gr.Tab("Step 1 - Upload PDF"):