Update app.py

app.py

@@ -288,9 +288,9 @@ def demo():
         """<center><h2>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. \
-        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>
+        """<b>Note:</b> CypherReadPDF is an advanced tool for exploring and analyzing PDF documents.\
+        Using AI models like LLaMA, it allows users to upload PDFs, extract key information, and ask interactive questions about the content. 
+        The user interface guides users through the analysis process, while conversational memory ensures answers consider past questions, with document references for clarity.<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.
         """)